Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence.
The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transformative era in healthcare, with promises of improved diagnostics, treatment, and patient outcomes. However, this rapid technological progress brings a concomitant surge in ethical challenges permeatin...
| Publicado en: | Inquiry (00469580) pp. 1 - 14 |
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| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
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Sage Publications Inc.
9/18/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=179712578&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 179712578 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 9/18/2024 pid: 344 pub: Sage Publications Inc. artinfo: ui: 179712578 10.1177/00469580241266364 ppf: 1 ppct: 13 formats: tig: atl: Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence. aug: au: Lu, Hui Alhaskawi, Ahmad Dong, Yanzhao Zou, Xiaodi Zhou, Haiying Ezzi, Sohaib Hasan Abdullah Kota, Vishnu Goutham Hasan Abdulla Hasan Abdulla, Mohamed Abdalbary, Sahar Ahmed affil: The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang Province, P.R. China Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, P.R. China The First Affiliated Hospital, Zhejiang University, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Province, P.R. China The Chinese University of Hong Kong, Rm Hong Kong, China Third Xiangya Hospital, Central South University, Hunan Province, P.R. China Nahda University in Beni Suef, Beni Suef, Egypt su: Medical ethics laws Right of privacy Data security laws Patient autonomy Curriculum Decision support systems Patient compliance Medical education Occupational roles Medical informatics Interprofessional relations Artificial intelligence Educators Health occupations students Digital health Educational technology Health Insurance Portability & Accountability Act Medical students Ethical decision making Informed consent (Medical law) Electronic health records Machine learning Medical ethics Algorithms Health care teams sug: subj: Medical ethics laws Right of privacy Data security laws Patient autonomy Curriculum Decision support systems Patient compliance Medical education Occupational roles Medical informatics Interprofessional relations Artificial intelligence Educators Health occupations students Digital health Educational technology Health Insurance Portability & Accountability Act Medical students Ethical decision making Informed consent (Medical law) Electronic health records Machine learning Medical ethics Algorithms Health care teams keyword: artificial intelligence data privacy ethical challenges medical education patient autonomy ab: The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transformative era in healthcare, with promises of improved diagnostics, treatment, and patient outcomes. However, this rapid technological progress brings a concomitant surge in ethical challenges permeating medical education. This paper explores the crucial role of medical educators in adapting to these changes, ensuring that ethical education remains a central and adaptable component of medical curricula. Medical educators must evolve alongside AI's advancements, becoming stewards of ethical consciousness in an era where algorithms and data-driven decision-making play pivotal roles in patient care. The traditional paradigm of medical education, rooted in foundational ethical principles, must adapt to incorporate the complex ethical considerations introduced by AI. This pedagogical approach fosters dynamic engagement, cultivating a profound ethical awareness among students. It empowers them to critically assess the ethical implications of AI applications in healthcare, including issues related to data privacy, informed consent, algorithmic biases, and technology-mediated patient care. Moreover, the interdisciplinary nature of AI's ethical challenges necessitates collaboration with fields such as computer science, data ethics, law, and social sciences to provide a holistic understanding of the ethical landscape. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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