AI-Based Technologies for Improving Patient Safety and Quality of Care

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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">AI-Based Technologies for Improving Patient Safety and Quality of Care</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tewelde%20Gebreslassie%20Gebreanenia">Tewelde Gebreslassie Gebreanenia</a>, <a href="https://publications.waset.org/abstracts/search?q=Frie%20Ayalew%20Yimam"> Frie Ayalew Yimam</a>, <a href="https://publications.waset.org/abstracts/search?q=Seada%20Hussen%20Adem"> Seada Hussen Adem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Patient safety and quality of care are essential goals of health care delivery, but they are often compromised by human errors, system failures, or resource constraints. In a variety of healthcare contexts, artificial intelligence (AI), a quickly developing field, can provide fresh approaches to enhancing patient safety and treatment quality. Artificial Intelligence (AI) has the potential to decrease errors and enhance patient outcomes by carrying out tasks that would typically require human intelligence. These tasks include the detection and prevention of adverse events, monitoring and warning patients and clinicians about changes in vital signs, symptoms, or risks, offering individualized and evidence-based recommendations for diagnosis, treatment, or prevention, and assessing and enhancing the effectiveness of health care systems and services. This study examines the state-of-the-art and potential future applications of AI-based technologies for enhancing patient safety and care quality, as well as the opportunities and problems they present for patients, policymakers, researchers, and healthcare providers. In order to ensure the safe, efficient, and responsible application of AI in healthcare, the paper also addresses the ethical, legal, social, and technical challenges that must be addressed and regulated. <iframe src="https://publications.waset.org/abstracts/179023.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <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=health%20care" title=" health care"> health care</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20intelligence" title=" human intelligence"> human intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20safty" title=" patient safty"> patient safty</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20care" title=" quality of care"> quality of care</a> </p> <a href="https://publications.waset.org/abstracts/179023/ai-based-technologies-for-improving-patient-safety-and-quality-of-care" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179023.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">78</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> 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AI-Based Technologies for Improving Patient Safety and Quality of Care