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modeling</title> <meta name="description" content="Search results for: healthcare modeling"> <meta name="keywords" content="healthcare modeling"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="healthcare modeling"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 5487</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: healthcare modeling</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5487</span> Developing a Total Quality Management Model Using Structural Equation Modeling for Indonesian Healthcare Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonny">Jonny</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Yuri%20M.%20Zagloel"> T. Yuri M. Zagloel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is made to present an Indonesian Healthcare model. Currently, there are nine TQM (Total Quality Management) practices in healthcare industry. However, these practices are not integrated yet. Therefore, this paper aims to integrate these practices as a model by using Structural Equation Modeling (SEM). After administering about 210 questionnaires to various stakeholders of this industry, a LISREL program was used to evaluate the model's fitness. The result confirmed that the model is fit because the p-value was about 0.45 or above required 0.05. This has signified that previously mentioned of nine TQM practices are able to be integrated as an Indonesian healthcare model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthcare" title="healthcare">healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20quality%20management%20%28TQM%29" title=" total quality management (TQM)"> total quality management (TQM)</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20equation%20modeling%20%28SEM%29" title=" structural equation modeling (SEM)"> structural equation modeling (SEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20structural%20relations%20%28LISREL%29" title=" linear structural relations (LISREL)"> linear structural relations (LISREL)</a> </p> <a href="https://publications.waset.org/abstracts/79065/developing-a-total-quality-management-model-using-structural-equation-modeling-for-indonesian-healthcare-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79065.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5486</span> Requirements Definitions of Real-Time System Using the Behavioral Patterns Analysis (BPA) Approach: The Healthcare Multi-Agent System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Assem%20El-Ansary">Assem El-Ansary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper illustrates the event-oriented Behavioral Pattern Analysis (BPA) modeling approach using the Healthcare Multi-Agent System. The Event defined in BPA is a real-life conceptual entity that is unrelated to any implementation. The major contributions of this research are: The Behavioral Pattern Analysis (BPA) modeling methodology. The development of an interactive software tool (DECISION), which is based on a combination of the Analytic Hierarchy Process (AHP) and the ELECTRE Multi-Criteria Decision Making (MCDM) methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analysis" title="analysis">analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling%20methodology" title=" modeling methodology"> modeling methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20modeling" title=" software modeling"> software modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=event-oriented" title=" event-oriented"> event-oriented</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioral%20pattern" title=" behavioral pattern"> behavioral pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=use%20cases" title=" use cases"> use cases</a>, <a href="https://publications.waset.org/abstracts/search?q=Healthcare%20Multi-Agent%20System" title=" Healthcare Multi-Agent System"> Healthcare Multi-Agent System</a> </p> <a href="https://publications.waset.org/abstracts/15854/requirements-definitions-of-real-time-system-using-the-behavioral-patterns-analysis-bpa-approach-the-healthcare-multi-agent-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15854.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">550</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5485</span> Artificial Intelligence Technologies Used in Healthcare: Its Implication on the Healthcare Workforce and Applications in the Diagnosis of Diseases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rowanda%20Daoud%20Ahmed">Rowanda Daoud Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mansoor%20Abdulhak"> Mansoor Abdulhak</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Azeem%20Afzal"> Muhammad Azeem Afzal</a>, <a href="https://publications.waset.org/abstracts/search?q=Sezer%20Filiz"> Sezer Filiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Usama%20Ahmad%20Mughal"> Usama Ahmad Mughal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses important aspects of AI in the healthcare domain. The increase of data in healthcare both in size and complexity, opens more room for artificial intelligence applications. Our focus is to review the main AI methods within the scope of the health care domain. The results of the review show that recommendations for diagnosis and recommendations for treatment, patent engagement, and administrative tasks are the key applications of AI in healthcare. Understanding the potential of AI methods in the domain of healthcare would benefit healthcare practitioners and will improve patient outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AI%20in%20healthcare" title="AI in healthcare">AI in healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=technologies%20of%20AI" title=" technologies of AI"> technologies of AI</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=future%20of%20AI%20in%20healthcare" title=" future of AI in healthcare"> future of AI in healthcare</a> </p> <a href="https://publications.waset.org/abstracts/154786/artificial-intelligence-technologies-used-in-healthcare-its-implication-on-the-healthcare-workforce-and-applications-in-the-diagnosis-of-diseases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154786.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5484</span> Service Quality Improvement in Ghana's Healthcare Supply Chain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ammatu%20Alhassan">Ammatu Alhassan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Quality healthcare delivery is a crucial indicator in assessing the overall developmental status of a country. There are many limitations in the Ghanaian healthcare supply chain due to the lack of studies about the correlation between quality health service and the healthcare supply chain. Patients who visit various healthcare providers face unpleasant experiences such as delays in the availability of their medications. In this study, an assessment of the quality of services provided to Ghanaian outpatients who visit public healthcare providers was investigated to establish its effect on the healthcare supply chain using a conceptual model. The Donabedian’s structure, process, and outcome theory for service quality evaluation were used to analyse 20 Ghanaian hospitals. The data obtained was tested using the structural equation model (SEM). The findings from this research will help us to improve the overall quality of the Ghanaian healthcare supply chain. The model which will be developed will help us to understand better the linkage between quality healthcare and the healthcare supply chain as well as serving as a reference tool for future healthcare research in Ghana. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghana" title="Ghana">Ghana</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=outpatients" title=" outpatients"> outpatients</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain" title=" supply chain"> supply chain</a> </p> <a href="https://publications.waset.org/abstracts/135174/service-quality-improvement-in-ghanas-healthcare-supply-chain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135174.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">184</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5483</span> Security Features for Remote Healthcare System: A Feasibility Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tamil%20Chelvi%20Vadivelu">Tamil Chelvi Vadivelu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nurazean%20Maarop"> Nurazean Maarop</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasimah%20Che%20Yusoff"> Rasimah Che Yusoff</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhana%20Aini%20Saludin"> Farhana Aini Saludin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementing a remote healthcare system needs to consider many security features. Therefore, before any deployment of the remote healthcare system, a feasibility study from the security perspective is crucial. Remote healthcare system using WBAN technology has been used in other countries for medical purposes but in Malaysia, such projects are still not yet implemented. This study was conducted qualitatively. The interview results involving five healthcare practitioners are further elaborated. The study has addressed four important security features in order to incorporate remote healthcare system using WBAN in Malaysian government hospitals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=remote%20healthcare" title="remote healthcare">remote healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=IT%20security" title=" IT security"> IT security</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20features" title=" security features"> security features</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20application" title=" wireless sensor application"> wireless sensor application</a> </p> <a href="https://publications.waset.org/abstracts/20183/security-features-for-remote-healthcare-system-a-feasibility-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5482</span> Vulnerability Assessment of Healthcare Interdependent Critical Infrastructure Coloured Petri Net Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Nivedita">N. Nivedita</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Durbha"> S. Durbha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Critical Infrastructure (CI) consists of services and technological networks such as healthcare, transport, water supply, electricity supply, information technology etc. These systems are necessary for the well-being and to maintain effective functioning of society. Critical Infrastructures can be represented as nodes in a network where they are connected through a set of links depicting the logical relationship among them; these nodes are interdependent on each other and interact with each at other at various levels, such that the state of each infrastructure influences or is correlated to the state of another. Disruption in the service of one infrastructure nodes of the network during a disaster would lead to cascading and escalating disruptions across other infrastructures nodes in the network. The operation of Healthcare Infrastructure is one such Critical Infrastructure that depends upon a complex interdependent network of other Critical Infrastructure, and during disasters it is very vital for the Healthcare Infrastructure to be protected, accessible and prepared for a mass casualty. To reduce the consequences of a disaster on the Critical Infrastructure and to ensure a resilient Critical Health Infrastructure network, knowledge, understanding, modeling, and analyzing the inter-dependencies between the infrastructures is required. The paper would present inter-dependencies related to Healthcare Critical Infrastructure based on Hierarchical Coloured Petri Nets modeling approach, given a flood scenario as the disaster which would disrupt the infrastructure nodes. The model properties are being analyzed for the various state changes which occur when there is a disruption or damage to any of the Critical Infrastructure. The failure probabilities for the failure risk of interconnected systems are calculated by deriving a reachability graph, which is later mapped to a Markov chain. By analytically solving and analyzing the Markov chain, the overall vulnerability of the Healthcare CI HCPN model is demonstrated. The entire model would be integrated with Geographic information-based decision support system to visualize the dynamic behavior of the interdependency of the Healthcare and related CI network in a geographically based environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=critical%20infrastructure%20interdependency" title="critical infrastructure interdependency">critical infrastructure interdependency</a>, <a href="https://publications.waset.org/abstracts/search?q=hierarchical%20coloured%20petrinet" title=" hierarchical coloured petrinet"> hierarchical coloured petrinet</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20critical%20infrastructure" title=" healthcare critical infrastructure"> healthcare critical infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=Petri%20Nets" title=" Petri Nets"> Petri Nets</a>, <a href="https://publications.waset.org/abstracts/search?q=Markov%20chain" title=" Markov chain"> Markov chain</a> </p> <a href="https://publications.waset.org/abstracts/21872/vulnerability-assessment-of-healthcare-interdependent-critical-infrastructure-coloured-petri-net-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21872.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">529</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5481</span> The Ethical and Social Implications of Using AI in Healthcare: A Literature Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak%20Singh">Deepak Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> AI technology is rapidly being integrated into the healthcare system, bringing many ethical and social implications. This literature review examines the various aspects of this phenomenon, focusing on the ethical considerations of using AI in healthcare, such as how it might affect patient autonomy, privacy, and doctor-patient relationships. Furthermore, the review considers the potential social implications of AI in Healthcare, such as the potential for automation to reduce the availability of healthcare jobs and the potential to widen existing health inequalities. The literature suggests potential benefits and drawbacks to using AI in healthcare, and it is essential to consider the ethical and social implications before implementation. It is concluded that more research is needed to understand the full implications of using AI in healthcare and that ethical regulations must be in place to ensure patient safety and the technology's responsible use. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AI" title="AI">AI</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=telemedicine" title=" telemedicine"> telemedicine</a>, <a href="https://publications.waset.org/abstracts/search?q=telehealth" title=" telehealth"> telehealth</a>, <a href="https://publications.waset.org/abstracts/search?q=ethics" title=" ethics"> ethics</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy"> privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=patient" title=" patient"> patient</a>, <a href="https://publications.waset.org/abstracts/search?q=rights" title=" rights"> rights</a>, <a href="https://publications.waset.org/abstracts/search?q=safety" title=" safety"> safety</a> </p> <a href="https://publications.waset.org/abstracts/167013/the-ethical-and-social-implications-of-using-ai-in-healthcare-a-literature-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167013.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5480</span> Towards Value-Based Healthcare through a Nursing Sector Management Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hadeer%20Hegazy">Hadeer Hegazy</a>, <a href="https://publications.waset.org/abstracts/search?q=Wael%20Ewieda"> Wael Ewieda</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranin%20Soliman"> Ranin Soliman</a>, <a href="https://publications.waset.org/abstracts/search?q=Samah%20Elway"> Samah Elway</a>, <a href="https://publications.waset.org/abstracts/search?q=Asmaa%20Tawfik"> Asmaa Tawfik</a>, <a href="https://publications.waset.org/abstracts/search?q=Ragaa%20Sayed"> Ragaa Sayed</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Mousa"> Sahar Mousa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current healthcare system is facing major challenges in terms of cost, quality of care, and access to services. In response, the concept of value-based healthcare has emerged as a new approach to healthcare delivery. This concept puts the focus on patient values rather than on the traditional medical model of care. To achieve this, healthcare organizations must be agile and able to anticipate and respond quickly to changing needs. Agile management is essential for healthcare organizations to achieve value-based care, as it allows them to rapidly adjust their strategies to changing circumstances. Additionally, it is argued that agile management can help healthcare organizations gain a better understanding of the needs of their patients and develop better care delivery models. Besides, it can help healthcare organizations develop new services, innovate, and become more efficient. The authors provide evidence to support their argument, drawing on examples from successful value-based healthcare initiatives at children’s cancer hospital Egypt-57357. The paper offers insight into how agile management can be used to facilitate the shift towards value-based healthcare and how it can be used to maximize value in the healthcare system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=value-based%20healthcare" title="value-based healthcare">value-based healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=agility%20in%20healthcare" title=" agility in healthcare"> agility in healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=nursing%20department" title=" nursing department"> nursing department</a>, <a href="https://publications.waset.org/abstracts/search?q=patients%20outcomes" title=" patients outcomes"> patients outcomes</a> </p> <a href="https://publications.waset.org/abstracts/165268/towards-value-based-healthcare-through-a-nursing-sector-management-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165268.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">767</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5479</span> Rising Individual Responsibility in Healthcare: A Case Study of China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ziyu%20Liu">Ziyu Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Martin%20Buijsen"> Martin Buijsen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although great achievements have been made since the beginning of the Chinese healthcare system reform in 1978, there still remain unresolved problems. Currently, the two leading social issues are accessibility and affordability of healthcare. Facing those challenges, Chinese government initiated the third round of healthcare system reform, accompanied by an array of measures. The newly launched strategies show a tendency to deliver healthcare as welfare goods, achieving equality through an ex-post perspective instead of an ex-ante view. However, if the reform efforts rely solely on the notion of “welfare”, the wrong idea of the government as the only duty-bearer in healthcare will arise. Several major threats, such as high costs as a result of inefficiencies and free riding then become imminent. Therefore, on the basis of Dworkin’s theory, this paper argues that individual responsibility should be introduced when constructing a sustainable healthcare system. And it should be equally highlighted as the duties of government. Furthermore, the notion of individual responsibility is believed to be necessary for promoting the justice of a healthcare system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinese%20healthcare%20system%20reform" title="Chinese healthcare system reform">Chinese healthcare system reform</a>, <a href="https://publications.waset.org/abstracts/search?q=individual%20responsibility" title=" individual responsibility"> individual responsibility</a>, <a href="https://publications.waset.org/abstracts/search?q=right%20to%20healthcare" title=" right to healthcare"> right to healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20justice" title=" social justice"> social justice</a> </p> <a href="https://publications.waset.org/abstracts/35416/rising-individual-responsibility-in-healthcare-a-case-study-of-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35416.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">508</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5478</span> The Role of Healthcare Informatics in Combating the COVID-19 Pandemic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Philip%20Eappen">Philip Eappen</a>, <a href="https://publications.waset.org/abstracts/search?q=Narasimha%20Rao%20Vajjhala"> Narasimha Rao Vajjhala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This chapter examines how healthcare organizations harnessed innovative healthcare informatics to navigate the challenges posed by the COVID-19 pan-demic, addressing critical needs and improving care delivery. The pandemic's un-precedented demands necessitated the adoption of new and advanced tools to manage healthcare operations more effectively. Informatics solutions played a crucial role in facilitating the smooth functioning of healthcare systems during this crisis and are anticipated to remain central to future healthcare management. Technologies such as telemedicine helped healthcare professionals minimize ex-posure to COVID-19 patients, thereby reducing infection risks within healthcare facilities. This chapter explores a range of informatics applications utilized worldwide, including telemedicine, AI-driven solutions, big data analytics, drones, robots, and digital platforms for drug delivery, all of which enabled re-mote patient care and enhanced healthcare accessibility and safety during the pan-demic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthcare%20informatics" title="healthcare informatics">healthcare informatics</a>, <a href="https://publications.waset.org/abstracts/search?q=COVID-19%20Pandemic" title=" COVID-19 Pandemic"> COVID-19 Pandemic</a>, <a href="https://publications.waset.org/abstracts/search?q=telemedicine" title=" telemedicine"> telemedicine</a>, <a href="https://publications.waset.org/abstracts/search?q=AI-driven%20healthcare" title=" AI-driven healthcare"> AI-driven healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20analytics" title=" big data analytics"> big data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20patient%20care" title=" remote patient care"> remote patient care</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20health%20platforms" title=" digital health platforms"> digital health platforms</a> </p> <a href="https://publications.waset.org/abstracts/194156/the-role-of-healthcare-informatics-in-combating-the-covid-19-pandemic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">6</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5477</span> Healthcare Data Mining Innovations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eugenia%20Jilinguirian">Eugenia Jilinguirian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the healthcare industry, data mining is essential since it transforms the field by collecting useful data from large datasets. Data mining is the process of applying advanced analytical methods to large patient records and medical histories in order to identify patterns, correlations, and trends. Healthcare professionals can improve diagnosis accuracy, uncover hidden linkages, and predict disease outcomes by carefully examining these statistics. Additionally, data mining supports personalized medicine by personalizing treatment according to the unique attributes of each patient. This proactive strategy helps allocate resources more efficiently, enhances patient care, and streamlines operations. However, to effectively apply data mining, however, and ensure the use of private healthcare information, issues like data privacy and security must be carefully considered. Data mining continues to be vital for searching for more effective, efficient, and individualized healthcare solutions as technology evolves. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=individualised%20healthcare" title=" individualised healthcare"> individualised healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20solutions" title=" healthcare solutions"> healthcare solutions</a>, <a href="https://publications.waset.org/abstracts/search?q=database" title=" database"> database</a> </p> <a href="https://publications.waset.org/abstracts/178640/healthcare-data-mining-innovations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">66</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5476</span> Leadership Competences: The Case of Slovenian Healthcare</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Helena%20Kova%C4%8Di%C4%8D">Helena Kovačič</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrej%20Rus"> Andrej Rus</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study compared ratings for leadership competence of managers in the healthcare sector and professional managers in Slovenia. Managers’ competence scores were analyzed for Slovenia and compared with some other EU countries. Comparisons of correlations yielded significant differences in leader/non-leader healthcare professionals in their relational competence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=management" title="management">management</a>, <a href="https://publications.waset.org/abstracts/search?q=competence" title=" competence"> competence</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=Slovenia" title=" Slovenia"> Slovenia</a> </p> <a href="https://publications.waset.org/abstracts/2147/leadership-competences-the-case-of-slovenian-healthcare" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2147.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">290</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5475</span> Structuring and Visualizing Healthcare Claims Data Using Systems Architecture Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Inas%20S.%20Khayal">Inas S. Khayal</a>, <a href="https://publications.waset.org/abstracts/search?q=Weiping%20Zhou"> Weiping Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Jonathan%20Skinner"> Jonathan Skinner</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare delivery systems around the world are in crisis. The need to improve health outcomes while decreasing healthcare costs have led to an imminent call to action to transform the healthcare delivery system. While Bioinformatics and Biomedical Engineering have primarily focused on biological level data and biomedical technology, there is clear evidence of the importance of the delivery of care on patient outcomes. Classic singular decomposition approaches from reductionist science are not capable of explaining complex systems. Approaches and methods from systems science and systems engineering are utilized to structure healthcare delivery system data. Specifically, systems architecture is used to develop a multi-scale and multi-dimensional characterization of the healthcare delivery system, defined here as the Healthcare Delivery System Knowledge Base. This paper is the first to contribute a new method of structuring and visualizing a multi-dimensional and multi-scale healthcare delivery system using systems architecture in order to better understand healthcare delivery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20informatics" title="health informatics">health informatics</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20thinking" title=" systems thinking"> systems thinking</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20architecture" title=" systems architecture"> systems architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20delivery%20system" title=" healthcare delivery system"> healthcare delivery system</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20analytics" title=" data analytics"> data analytics</a> </p> <a href="https://publications.waset.org/abstracts/69032/structuring-and-visualizing-healthcare-claims-data-using-systems-architecture-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">348</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5474</span> Use of Cloud Computing and Smart Devices in Healthcare</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikunj%20Agarwal">Nikunj Agarwal</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20P.%20Sebastian"> M. P. Sebastian </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cloud computing can reduce the start-up expenses of implementing EHR (Electronic Health Records). However, many of the healthcare institutions are yet to implement cloud computing due to the associated privacy and security issues. In this paper, we analyze the challenges and opportunities of implementing cloud computing in healthcare. We also analyze data of over 5000 US hospitals that use Telemedicine applications. This analysis helps to understand the importance of smart phones over the desktop systems in different departments of the healthcare institutions. The wide usage of smartphones and cloud computing allows ubiquitous and affordable access to the health data by authorized persons, including patients and doctors. Cloud computing will prove to be beneficial to a majority of the departments in healthcare. Through this analysis, we attempt to understand the different healthcare departments that may benefit significantly from the implementation of cloud computing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title="cloud computing">cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20devices" title=" smart devices"> smart devices</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=telemedicine" title=" telemedicine"> telemedicine</a> </p> <a href="https://publications.waset.org/abstracts/39864/use-of-cloud-computing-and-smart-devices-in-healthcare" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39864.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5473</span> Application of Cloud Based Healthcare Information System through a Smart Card in Kingdom of Saudi Arabia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wasmi%20Woishi">Wasmi Woishi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Smart card technology is a secure and safe technology that is expanding its capabilities day by day in terms of holding important information without alteration. It is readily available, and its ease of portability makes it more efficient in terms of its usage. The smart card is in use by many industries such as financial, insurance, governmental industries, personal identification, to name a few. Smart card technology is popular for its wide familiarity, adaptability, accessibility, benefits, and portability. This research aims to find out the perception toward the application of a cloud-based healthcare system through a smart card in KSA. The research has compiled the countries using a smart card or smart healthcare card and indicated the potential benefits of implementing smart healthcare cards. 120 participants from Riyadh city were surveyed by the means of a closed-ended questionnaire. Data were analyzed through SPSS. This research extends the research body in the healthcare system. Empirical evidence regarding smart healthcare cards is scarce and hence undertaken in this study. The study provides a useful insight into collecting, storing, analyzing, manipulating, and accessibility of medical information regarding smart healthcare cards. Research findings can help achieve KSA's Vision 2030 goals in terms of the digitalization of healthcare systems in improving its efficiency and effectiveness in storing and accessing healthcare data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=smart%20card%20technology" title="smart card technology">smart card technology</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20using%20smart%20cards" title=" healthcare using smart cards"> healthcare using smart cards</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20healthcare%20cards" title=" smart healthcare cards"> smart healthcare cards</a>, <a href="https://publications.waset.org/abstracts/search?q=KSA%20healthcare%20information%20system" title=" KSA healthcare information system"> KSA healthcare information system</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud-based%20healthcare%20cards" title=" cloud-based healthcare cards"> cloud-based healthcare cards</a> </p> <a href="https://publications.waset.org/abstracts/126728/application-of-cloud-based-healthcare-information-system-through-a-smart-card-in-kingdom-of-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126728.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5472</span> Lightweight Synergy IoT Framework for Smart Home Healthcare for the Elderly</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Huawei%20Ma">Huawei Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Wencai%20Du"> Wencai Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Shengbin%20Liang"> Shengbin Liang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Smart Home Healthcare technologies for the elderly represent a transformative paradigm that leverages emerging technologies to provide the elderly’ health indicators and daily life monitoring, emergency calls, environmental monitoring, behavior perception, and other services to ensure the health and safety of the elderly who are aging in their own home. However, the excessive complexity in the main adopted framework has affected the acceptance and adoption of the elderly. Therefore, this paper proposes a lightweight synergy architecture of IoT data and service for elderly home smart health environment. It includes the modeling of IoT applications and their workflows, data interoperability, interaction, and storage paradigms to meet the growing needs of older people so that they can lead an active, fulfilling, and quality life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=smart%20home%20healthcare" title="smart home healthcare">smart home healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=IoT" title=" IoT"> IoT</a>, <a href="https://publications.waset.org/abstracts/search?q=independent%20living" title=" independent living"> independent living</a>, <a href="https://publications.waset.org/abstracts/search?q=lightweight%20framework" title=" lightweight framework"> lightweight framework</a> </p> <a href="https://publications.waset.org/abstracts/185322/lightweight-synergy-iot-framework-for-smart-home-healthcare-for-the-elderly" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185322.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">53</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5471</span> Data Mining in Healthcare for Predictive Analytics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ruzanna%20Muradyan">Ruzanna Muradyan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Medical data mining is a crucial field in contemporary healthcare that offers cutting-edge tactics with enormous potential to transform patient care. This abstract examines how sophisticated data mining techniques could transform the healthcare industry, with a special focus on how they might improve patient outcomes. Healthcare data repositories have dynamically evolved, producing a rich tapestry of different, multi-dimensional information that includes genetic profiles, lifestyle markers, electronic health records, and more. By utilizing data mining techniques inside this vast library, a variety of prospects for precision medicine, predictive analytics, and insight production become visible. Predictive modeling for illness prediction, risk stratification, and therapy efficacy evaluations are important points of focus. Healthcare providers may use this abundance of data to tailor treatment plans, identify high-risk patient populations, and forecast disease trajectories by applying machine learning algorithms and predictive analytics. Better patient outcomes, more efficient use of resources, and early treatments are made possible by this proactive strategy. Furthermore, data mining techniques act as catalysts to reveal complex relationships between apparently unrelated data pieces, providing enhanced insights into the cause of disease, genetic susceptibilities, and environmental factors. Healthcare practitioners can get practical insights that guide disease prevention, customized patient counseling, and focused therapies by analyzing these associations. The abstract explores the problems and ethical issues that come with using data mining techniques in the healthcare industry. In order to properly use these approaches, it is essential to find a balance between data privacy, security issues, and the interpretability of complex models. Finally, this abstract demonstrates the revolutionary power of modern data mining methodologies in transforming the healthcare sector. Healthcare practitioners and researchers can uncover unique insights, enhance clinical decision-making, and ultimately elevate patient care to unprecedented levels of precision and efficacy by employing cutting-edge methodologies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20care" title=" patient care"> patient care</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20analytics" title=" predictive analytics"> predictive analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20medicine" title=" precision medicine"> precision medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20health%20records" title=" electronic health records"> electronic health records</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20modeling" title=" predictive modeling"> predictive modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=disease%20prognosis" title=" disease prognosis"> disease prognosis</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20stratification" title=" risk stratification"> risk stratification</a>, <a href="https://publications.waset.org/abstracts/search?q=treatment%20efficacy" title=" treatment efficacy"> treatment efficacy</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20profiles" title=" genetic profiles"> genetic profiles</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20health" title=" precision health"> precision health</a> </p> <a href="https://publications.waset.org/abstracts/178634/data-mining-in-healthcare-for-predictive-analytics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178634.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5470</span> Agent-Based Modeling to Simulate the Dynamics of Health Insurance Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haripriya%20Chakraborty">Haripriya Chakraborty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The healthcare system in the United States is considered to be one of the most inefficient and expensive systems when compared to other developed countries. Consequently, there are persistent concerns regarding the overall functioning of this system. For instance, the large number of uninsured individuals and high premiums are pressing issues that are shown to have a negative effect on health outcomes with possible life-threatening consequences. The Affordable Care Act (ACA), which was signed into law in 2010, was aimed at improving some of these inefficiencies. This paper aims at providing a computational mechanism to examine some of these inefficiencies and the effects that policy proposals may have on reducing these inefficiencies. Agent-based modeling is an invaluable tool that provides a flexible framework to model complex systems. It can provide an important perspective into the nature of some interactions that occur and how the benefits of these interactions are allocated. In this paper, we propose a novel and versatile agent-based model with realistic assumptions to simulate the dynamics of a health insurance marketplace that contains a mixture of private and public insurers and individuals. We use this model to analyze the characteristics, motivations, payoffs, and strategies of these agents. In addition, we examine the effects of certain policies, including some of the provisions of the ACA, aimed at reducing the uninsured rate and the cost of premiums to move closer to a system that is more equitable and improves health outcomes for the general population. Our test results confirm the usefulness of our agent-based model in studying this complicated issue and suggest some implications for public policies aimed at healthcare reform. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agent-based%20modeling" title="agent-based modeling">agent-based modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20reform" title=" healthcare reform"> healthcare reform</a>, <a href="https://publications.waset.org/abstracts/search?q=insurance%20markets" title=" insurance markets"> insurance markets</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20policy" title=" public policy"> public policy</a> </p> <a href="https://publications.waset.org/abstracts/113072/agent-based-modeling-to-simulate-the-dynamics-of-health-insurance-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113072.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5469</span> Determinants of Artificial Intelligence Capabilities in Healthcare: The Case of Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dereje%20Ferede">Dereje Ferede</a>, <a href="https://publications.waset.org/abstracts/search?q=Solomon%20Negash"> Solomon Negash</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial Intelligence (AI) is a key enabler and driver to transform and revolutionize the healthcare industries. However, utilizing AI and achieving these benefits is challenging for different sectors in wide-ranging, more difficult for developing economy healthcare. Due to this, real-world clinical execution and implementation of AI have not yet aged. We believe that examining the determinants is key to addressing these challenges. Furthermore, the literature does not yet particularize determinants of AI capabilities and ways of empowering the healthcare ecosystem to develop AI capabilities in a developing economy. Thus, this study aims to position AI as a digital transformation weapon for the healthcare ecosystem by examining AI capability determinants and providing insights on better empowering the healthcare industry to develop AI capabilities. To do so, we base on the technology-organization-environment (TOE) model and will apply a mixed research approach. We will conclude with recommendations based on findings for future practitioners and researchers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=capability" title=" capability"> capability</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20transformation" title=" digital transformation"> digital transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20economies" title=" developing economies"> developing economies</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a> </p> <a href="https://publications.waset.org/abstracts/161027/determinants-of-artificial-intelligence-capabilities-in-healthcare-the-case-of-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161027.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">242</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5468</span> Methods and Algorithms of Ensuring Data Privacy in AI-Based Healthcare Systems and Technologies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omar%20Farshad%20Jeelani">Omar Farshad Jeelani</a>, <a href="https://publications.waset.org/abstracts/search?q=Makaire%20Njie"> Makaire Njie</a>, <a href="https://publications.waset.org/abstracts/search?q=Viktoriia%20M.%20Korzhuk"> Viktoriia M. Korzhuk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, the application of AI-powered algorithms in healthcare continues to flourish. Particularly, access to healthcare information, including patient health history, diagnostic data, and PII (Personally Identifiable Information) is paramount in the delivery of efficient patient outcomes. However, as the exchange of healthcare information between patients and healthcare providers through AI-powered solutions increases, protecting a person’s information and their privacy has become even more important. Arguably, the increased adoption of healthcare AI has resulted in a significant concentration on the security risks and protection measures to the security and privacy of healthcare data, leading to escalated analyses and enforcement. Since these challenges are brought by the use of AI-based healthcare solutions to manage healthcare data, AI-based data protection measures are used to resolve the underlying problems. Consequently, this project proposes AI-powered safeguards and policies/laws to protect the privacy of healthcare data. The project presents the best-in-school techniques used to preserve the data privacy of AI-powered healthcare applications. Popular privacy-protecting methods like Federated learning, cryptographic techniques, differential privacy methods, and hybrid methods are discussed together with potential cyber threats, data security concerns, and prospects. Also, the project discusses some of the relevant data security acts/laws that govern the collection, storage, and processing of healthcare data to guarantee owners’ privacy is preserved. This inquiry discusses various gaps and uncertainties associated with healthcare AI data collection procedures and identifies potential correction/mitigation measures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20privacy" title="data privacy">data privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence%20%28AI%29" title=" artificial intelligence (AI)"> artificial intelligence (AI)</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20AI" title=" healthcare AI"> healthcare AI</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20sharing" title=" data sharing"> data sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20organizations%20%28HCOs%29" title=" healthcare organizations (HCOs)"> healthcare organizations (HCOs)</a> </p> <a href="https://publications.waset.org/abstracts/184026/methods-and-algorithms-of-ensuring-data-privacy-in-ai-based-healthcare-systems-and-technologies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">93</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5467</span> Transforming Healthcare Data Privacy: Integrating Blockchain with Zero-Knowledge Proofs and Cryptographic Security</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kenneth%20Harper">Kenneth Harper</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Blockchain technology presents solutions for managing healthcare data, addressing critical challenges in privacy, integrity, and access. This paper explores how privacy-preserving technologies, such as zero-knowledge proofs (ZKPs) and homomorphic encryption (HE), enhance decentralized healthcare platforms by enabling secure computations and patient data protection. An examination of the mathematical foundations of these methods, their practical applications, and how they meet the evolving demands of healthcare data security is unveiled. Using real-world examples, this research highlights industry-leading implementations and offers a roadmap for future applications in secure, decentralized healthcare ecosystems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blockchain" title="blockchain">blockchain</a>, <a href="https://publications.waset.org/abstracts/search?q=cryptography" title=" cryptography"> cryptography</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20privacy" title=" data privacy"> data privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=decentralized%20data%20management" title=" decentralized data management"> decentralized data management</a>, <a href="https://publications.waset.org/abstracts/search?q=differential%20privacy" title=" differential privacy"> differential privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20data%20security" title=" healthcare data security"> healthcare data security</a>, <a href="https://publications.waset.org/abstracts/search?q=homomorphic%20encryption" title=" homomorphic encryption"> homomorphic encryption</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy-preserving%20technologies" title=" privacy-preserving technologies"> privacy-preserving technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=secure%20computations" title=" secure computations"> secure computations</a>, <a href="https://publications.waset.org/abstracts/search?q=zero-knowledge%20proofs" title=" zero-knowledge proofs"> zero-knowledge proofs</a> </p> <a href="https://publications.waset.org/abstracts/191929/transforming-healthcare-data-privacy-integrating-blockchain-with-zero-knowledge-proofs-and-cryptographic-security" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191929.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">18</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5466</span> Global Differences in Job Satisfaction of Healthcare Professionals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jonathan%20H.%20Westover">Jonathan H. Westover</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruthann%20Cunningham"> Ruthann Cunningham</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaron%20Harvey"> Jaron Harvey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: Job satisfaction is one of the most critical attitudes among employees. Understanding whether employees are satisfied with their jobs and what is driving that satisfaction is important for any employer, but particularly for healthcare organizations. This study looks at the question of job satisfaction and drivers of job satisfaction among healthcare professionals at a global scale, looking for trends that generalize across 37 countries. Study: This study analyzed job satisfaction responses to the 2015 Work Orientations IV wave of the International Social Survey Programme (ISSP) to understand differences in antecedents for and levels of job satisfaction among healthcare professionals. A total of 18,716 respondents from 37 countries participated in the annual survey. Findings: Respondents self-identified their occupational category based on corresponding International Standard Classification of Occupations (ISCO-08) codes. Results suggest that mean overall job satisfaction was highest among health service managers and generalist medical practitioners and lowest among environmental hygiene professionals and nursing professionals. Originality: Many studies have addressed the issue of job satisfaction in healthcare, examining small samples of specific healthcare workers. In this study, using a large international dataset, we are able to examine questions of job satisfaction across large groups of healthcare workers in different occupations within the healthcare field. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=job%20satisfaction" title="job satisfaction">job satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20industry" title=" healthcare industry"> healthcare industry</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20comparisons" title=" global comparisons"> global comparisons</a>, <a href="https://publications.waset.org/abstracts/search?q=workplace" title=" workplace"> workplace</a> </p> <a href="https://publications.waset.org/abstracts/145156/global-differences-in-job-satisfaction-of-healthcare-professionals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5465</span> Revolutionizing Healthcare Facility Maintenance: A Groundbreaking AI, BIM, and IoT Integration Framework</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mina%20Sadat%20Orooje">Mina Sadat Orooje</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Mehdi%20Latifi"> Mohammad Mehdi Latifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Behnam%20Fereydooni%20Eftekhari"> Behnam Fereydooni Eftekhari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The integration of cutting-edge Internet of Things (IoT) technologies with advanced Artificial Intelligence (AI) systems is revolutionizing healthcare facility management. However, the current landscape of hospital building maintenance suffers from slow, repetitive, and disjointed processes, leading to significant financial, resource, and time losses. Additionally, the potential of Building Information Modeling (BIM) in facility maintenance is hindered by a lack of data within digital models of built environments, necessitating a more streamlined data collection process. This paper presents a robust framework that harmonizes AI with BIM-IoT technology to elevate healthcare Facility Maintenance Management (FMM) and address these pressing challenges. The methodology begins with a thorough literature review and requirements analysis, providing insights into existing technological landscapes and associated obstacles. Extensive data collection and analysis efforts follow to deepen understanding of hospital infrastructure and maintenance records. Critical AI algorithms are identified to address predictive maintenance, anomaly detection, and optimization needs alongside integration strategies for BIM and IoT technologies, enabling real-time data collection and analysis. The framework outlines protocols for data processing, analysis, and decision-making. A prototype implementation is executed to showcase the framework's functionality, followed by a rigorous validation process to evaluate its efficacy and gather user feedback. Refinement and optimization steps are then undertaken based on evaluation outcomes. Emphasis is placed on the scalability of the framework in real-world scenarios and its potential applications across diverse healthcare facility contexts. Finally, the findings are meticulously documented and shared within the healthcare and facility management communities. This framework aims to significantly boost maintenance efficiency, cut costs, provide decision support, enable real-time monitoring, offer data-driven insights, and ultimately enhance patient safety and satisfaction. By tackling current challenges in healthcare facility maintenance management it paves the way for the adoption of smarter and more efficient maintenance practices in healthcare facilities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20information%20modeling" title=" building information modeling"> building information modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20facility%20maintenance" title=" healthcare facility maintenance"> healthcare facility maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things%20integration" title=" internet of things integration"> internet of things integration</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance%20efficiency" title=" maintenance efficiency"> maintenance efficiency</a> </p> <a href="https://publications.waset.org/abstracts/185175/revolutionizing-healthcare-facility-maintenance-a-groundbreaking-ai-bim-and-iot-integration-framework" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185175.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">59</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5464</span> The Effects of Racial Cohesion among White and Maori Populations on Healthcare in New Zealand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thomas%20C.%20Nash">Thomas C. Nash</a> </p> <p class="card-text"><strong>Abstract:</strong></p> New Zealand has a small, yet racially diverse, population of only 4.6 million people, consisting of a majority European immigrant population and a large indigenous Maori population. Because disparities in healthcare often exist among minority populations, it could be expected that the White and Maori populations of New Zealand would have unequal access to healthcare. In order to understand the ways these disparities may present themselves, it became important to travel to New Zealand in order to interview both Western and natural healthcare professionals, public health officials, health activists and Maori people. In observing the various mechanisms within the New Zealand healthcare system, some stand out as effective ways of alleviating the racial disparities often seen in healthcare. These include the efficiency of regional District Health Boards, the benefits of individuals making decisions regarding their treatment plans and the importance of cohesion among the Maori and White populations. In forming a conclusion around these observations, it is evident that the integration of Maori culture into contemporary New Zealand has benefited the healthcare system. This unity has generated support for non-Western medical treatments, in turn forming a healthcare system that creates low barriers to entry for non-traditional forms of healthcare. These low barriers allow individuals to allocate available healthcare resources in ways that are most beneficial for them and are consistent with their tastes and preferences, maximizing efficiency. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alternative%20and%20complementary%20healthcare" title="alternative and complementary healthcare">alternative and complementary healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20barriers%20to%20entry" title=" low barriers to entry"> low barriers to entry</a>, <a href="https://publications.waset.org/abstracts/search?q=Maori%20populations" title=" Maori populations"> Maori populations</a>, <a href="https://publications.waset.org/abstracts/search?q=racial%20cohesion" title=" racial cohesion"> racial cohesion</a> </p> <a href="https://publications.waset.org/abstracts/82517/the-effects-of-racial-cohesion-among-white-and-maori-populations-on-healthcare-in-new-zealand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82517.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">195</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5463</span> Imputing the Minimum Social Value of Public Healthcare: A General Equilibrium Model of Israel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erez%20Yerushalmi">Erez Yerushalmi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sani%20Ziv"> Sani Ziv</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rising demand for healthcare services, without a corresponding rise in public supply, led to a debate on whether to increase private healthcare provision - especially in hospital services and second-tier healthcare. Proponents for increasing private healthcare highlight gains in efficiency, while opponents its risk to social welfare. None, however, provide a measure of the social value and its impact on the economy in terms of a monetary value. In this paper, we impute a minimum social value of public healthcare that corresponds to indifference between gains in efficiency, with losses to social welfare. Our approach resembles contingent valuation methods that introduce a hypothetical market for non-commodities, but is different from them because we use numerical simulation techniques to exploit certain market failure conditions. In this paper, we develop a general equilibrium model that distinguishes between public-private healthcare services and public-private financing. Furthermore, the social value is modelled as a by product of healthcare services. The model is then calibrated to our unique health focused Social Accounting Matrix of Israel, and simulates the introduction of a hypothetical health-labour market - given that it is heavily regulated in the baseline (i.e., the true situation in Israel today). For baseline parameters, we estimate the minimum social value at around 18% public healthcare financing. The intuition is that the gain in economic welfare from improved efficiency, is offset by the loss in social welfare due to a reduction in available social value. We furthermore simulate a deregulated healthcare scenario that internalizes the imputed value of social value and searches for the optimal weight of public and private healthcare provision. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contingent%20valuation%20method%20%28CVM%29" title="contingent valuation method (CVM)">contingent valuation method (CVM)</a>, <a href="https://publications.waset.org/abstracts/search?q=general%20equilibrium%20model" title=" general equilibrium model"> general equilibrium model</a>, <a href="https://publications.waset.org/abstracts/search?q=hypothetical%20market" title=" hypothetical market"> hypothetical market</a>, <a href="https://publications.waset.org/abstracts/search?q=private-public%20healthcare" title=" private-public healthcare"> private-public healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20value%20of%20public%20healthcare" title=" social value of public healthcare"> social value of public healthcare</a> </p> <a href="https://publications.waset.org/abstracts/107026/imputing-the-minimum-social-value-of-public-healthcare-a-general-equilibrium-model-of-israel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/107026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5462</span> Methods Used to Perform Requirements Elicitation for Healthcare Software Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tang%20Jiacheng">Tang Jiacheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Fang%20Tianyu"> Fang Tianyu</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Yicen"> Liu Yicen</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiang%20Xingzhou"> Xiang Xingzhou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The proportion of healthcare services is increasing throughout the globe. The convergence of mobile technology is driving new business opportunities, innovations in healthcare service delivery and the promise of a better life tomorrow for different populations with various healthcare needs. One of the most important phases for the combination of health care and mobile applications is to elicit requirements correctly. In this paper, four articles from different research directions with four topics on healthcare were detailed analyzed and summarized. We identified the underlying problems in guidance to develop mobile applications to provide healthcare service for Older adults, Women in menopause, Patients undergoing covid. These case studies cover several elicitation methods: survey, prototyping, focus group interview and questionnaire. And the effectiveness of these methods was analyzed along with the advantages and limitations of these methods, which is beneficial to adapt the elicitation methods for future software development process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthcare" title="healthcare">healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20requirement%20elicitation" title=" software requirement elicitation"> software requirement elicitation</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20applications" title=" mobile applications"> mobile applications</a>, <a href="https://publications.waset.org/abstracts/search?q=prototyping" title=" prototyping"> prototyping</a>, <a href="https://publications.waset.org/abstracts/search?q=focus%20group%20interview" title=" focus group interview"> focus group interview</a> </p> <a href="https://publications.waset.org/abstracts/155466/methods-used-to-perform-requirements-elicitation-for-healthcare-software-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155466.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5461</span> Wellness Warriors: A Qualitative Exploration of Frontline Healthcare Staff Responding to Crisis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Knezevic">Andrea Knezevic</a>, <a href="https://publications.waset.org/abstracts/search?q=Padmini%20Pai"> Padmini Pai</a>, <a href="https://publications.waset.org/abstracts/search?q=Julaine%20Allan"> Julaine Allan</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarzyna%20Olco%C5%84"> Katarzyna Olcoń</a>, <a href="https://publications.waset.org/abstracts/search?q=Louisa%20Smith"> Louisa Smith</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare staff are on the frontline during times of disaster and are required to support the health and wellbeing of communities despite any personal adversity and trauma they are experiencing as a result of the disaster. This study explored the experiences of healthcare staff trained as ‘Wellness Warriors’ following the 2019-2020 Australian bushfires. The findings indicated that healthcare staff developed interpersonal skills around deep listening and connecting with others which allowed them to feel differently about work and restored their faith in healthcare leadership. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Australian%20bushfires" title="Australian bushfires">Australian bushfires</a>, <a href="https://publications.waset.org/abstracts/search?q=burnout" title=" burnout"> burnout</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20care%20providers" title=" health care providers"> health care providers</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20health" title=" mental health"> mental health</a>, <a href="https://publications.waset.org/abstracts/search?q=occupational%20trauma" title=" occupational trauma"> occupational trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=post-disaster" title=" post-disaster"> post-disaster</a>, <a href="https://publications.waset.org/abstracts/search?q=wellbeing" title=" wellbeing"> wellbeing</a>, <a href="https://publications.waset.org/abstracts/search?q=workplace%20wellness" title=" workplace wellness"> workplace wellness</a> </p> <a href="https://publications.waset.org/abstracts/151447/wellness-warriors-a-qualitative-exploration-of-frontline-healthcare-staff-responding-to-crisis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151447.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">137</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5460</span> Blockchain-Based Decentralized Architecture for Secure Medical Records Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeed%20M.%20Alshahrani">Saeed M. Alshahrani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research integrated blockchain technology to reform medical records management in healthcare informatics. It was aimed at resolving the limitations of centralized systems by establishing a secure, decentralized, and user-centric platform. The system was architected with a sophisticated three-tiered structure, integrating advanced cryptographic methodologies, consensus algorithms, and the Fast Healthcare Interoperability Resources (HL7 FHIR) standard to ensure data security, transaction validity, and semantic interoperability. The research has profound implications for healthcare delivery, patient care, legal compliance, operational efficiency, and academic advancements in blockchain technology and healthcare IT sectors. The methodology adapted in this research comprises of Preliminary Feasibility Study, Literature Review, Design and Development, Cryptographic Algorithm Integration, Modeling the data and testing the system. The research employed a permissioned blockchain with a Practical Byzantine Fault Tolerance (PBFT) consensus algorithm and Ethereum-based smart contracts. It integrated advanced cryptographic algorithms, role-based access control, multi-factor authentication, and RESTful APIs to ensure security, regulate access, authenticate user identities, and facilitate seamless data exchange between the blockchain and legacy healthcare systems. The research contributed to the development of a secure, interoperable, and decentralized system for managing medical records, addressing the limitations of the centralized systems that were in place. Future work will delve into optimizing the system further, exploring additional blockchain use cases in healthcare, and expanding the adoption of the system globally, contributing to the evolution of global healthcare practices and policies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthcare%20informatics" title="healthcare informatics">healthcare informatics</a>, <a href="https://publications.waset.org/abstracts/search?q=blockchain" title=" blockchain"> blockchain</a>, <a href="https://publications.waset.org/abstracts/search?q=medical%20records%20management" title=" medical records management"> medical records management</a>, <a href="https://publications.waset.org/abstracts/search?q=decentralized%20architecture" title=" decentralized architecture"> decentralized architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20security" title=" data security"> data security</a>, <a href="https://publications.waset.org/abstracts/search?q=cryptographic%20algorithms" title=" cryptographic algorithms"> cryptographic algorithms</a> </p> <a href="https://publications.waset.org/abstracts/173815/blockchain-based-decentralized-architecture-for-secure-medical-records-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173815.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">55</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5459</span> Developing a Knowledge-Based Lean Six Sigma Model to Improve Healthcare Leadership Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yousuf%20N.%20Al%20Khamisi">Yousuf N. Al Khamisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Eduardo%20M.%20Hernandez"> Eduardo M. Hernandez</a>, <a href="https://publications.waset.org/abstracts/search?q=Khurshid%20M.%20Khan"> Khurshid M. Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose: This paper presents a model of a Knowledge-Based (KB) using Lean Six Sigma (L6σ) principles to enhance the performance of healthcare leadership. Design/methodology/approach: Using L6σ principles to enhance healthcare leaders’ performance needs a pre-assessment of the healthcare organisation’s capabilities. The model will be developed using a rule-based approach of KB system. Thus, KB system embeds Gauging Absence of Pre-requisite (GAP) for benchmarking and Analytical Hierarchy Process (AHP) for prioritization. A comprehensive literature review will be covered for the main contents of the model with a typical output of GAP analysis and AHP. Findings: The proposed KB system benchmarks the current position of healthcare leadership with the ideal benchmark one (resulting from extensive evaluation by the KB/GAP/AHP system of international leadership concepts in healthcare environments). Research limitations/implications: Future work includes validating the implementation model in healthcare environments around the world. Originality/value: This paper presents a novel application of a hybrid KB combines of GAP and AHP methodology. It implements L6σ principles to enhance healthcare performance. This approach assists healthcare leaders’ decision making to reach performance improvement against a best practice benchmark. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lean%20Six%20Sigma%20%28L6%CF%83%29" title="Lean Six Sigma (L6σ)">Lean Six Sigma (L6σ)</a>, <a href="https://publications.waset.org/abstracts/search?q=Knowledge-Based%20System%20%28KBS%29" title=" Knowledge-Based System (KBS)"> Knowledge-Based System (KBS)</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20leadership" title=" healthcare leadership"> healthcare leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=Gauge%20Absence%20Prerequisites%20%28GAP%29" title=" Gauge Absence Prerequisites (GAP)"> Gauge Absence Prerequisites (GAP)</a>, <a href="https://publications.waset.org/abstracts/search?q=Analytical%20Hierarchy%20Process%20%28AHP%29" title=" Analytical Hierarchy Process (AHP)"> Analytical Hierarchy Process (AHP)</a> </p> <a href="https://publications.waset.org/abstracts/82138/developing-a-knowledge-based-lean-six-sigma-model-to-improve-healthcare-leadership-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82138.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5458</span> Exploring Health Care Self-Advocacy of Queer Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tiffany%20Wicks">Tiffany Wicks</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Queer patients can face issues with self-advocating due to the factors of implicit provider bias, lack of tools and resources to self-advocate, and lack of comfortability in self-advocating based on prior experiences. In this study, five participants who identify as queer discussed their interactions with their healthcare providers. This exploratory study revealed that there is a need for healthcare provider education to reduce implicit bias and judgments about queer patients. There is also an important need for peer advocates in order to further inform healthcare promotion and decision-making before and during provider visits in an effort for a better outcome. Through this exploration, queer patients voiced their experiences and concerns to inform a need for change in healthcare collaboration between providers and patients in the queer community. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=queer" title="queer">queer</a>, <a href="https://publications.waset.org/abstracts/search?q=LGBT" title=" LGBT"> LGBT</a>, <a href="https://publications.waset.org/abstracts/search?q=patient" title=" patient"> patient</a>, <a href="https://publications.waset.org/abstracts/search?q=self-advocacy" title=" self-advocacy"> self-advocacy</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a> </p> <a href="https://publications.waset.org/abstracts/163611/exploring-health-care-self-advocacy-of-queer-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163611.pdf" target="_blank" class="btn 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