Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare.
Artificial intelligence (AI)‐based technologies are increasingly being utilized, tested, and integrated into conventional healthcare delivery. Technological opportunities, ranging from machine‐learning‐based data analysis tools to large language model‐based virtual healthcare assistants, offer signi...
| Publicado en: | Bioethics Vol. 40; no. 1; pp. 52 - 61 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=190304709&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 190304709 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 02699702 6PJ jtl: Bioethics issn: 02699702 maglogo: Y pubinfo: dt: Jan2026 vid: 40 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 190304709 10.1111/bioe.70019 ppf: 52 ppct: 9 formats: tig: atl: Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare. aug: au: Padela, Aasim I. Hayek, Rwan Tabassum, Aliya Jotterand, Fabrice Qadir, Junaid affil: Department of Emergency Medicine, Medical College of Wisconsin, Milwaukee Wisconsin,, USA Center for Bioethics and the Medical Humanities, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee Wisconsin,, USA Medical College of Georgia, Augusta Georgia,, USA College of Engineering, Qatar University, Doha, Qatar Institute for Biomedical Ethics, University of Basel, Basel, Switzerland su: Empathy Professional autonomy Artificial intelligence Responsibility Privacy Bioethics Patient-centered care Physician-patient relations Technology Trust Medical ethics Patient participation Clinical decision support systems Natural language processing Robotics Integrated health care delivery sug: subj: Empathy Professional autonomy Artificial intelligence Responsibility Privacy Bioethics Patient-centered care Physician-patient relations Technology Trust Medical ethics Patient participation Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology) Clinical decision support systems Natural language processing Robotics Integrated health care delivery keyword: artificial intelligence bioethics guidelines humanity patient centered care artificial intelligence bioethics guidelines humanity patient centered care ab: Artificial intelligence (AI)‐based technologies are increasingly being utilized, tested, and integrated into conventional healthcare delivery. Technological opportunities, ranging from machine‐learning‐based data analysis tools to large language model‐based virtual healthcare assistants, offer significant potential to enhance healthcare access and improve outcomes. Researchers have discussed potential benefits, including improved resource allocation, diagnostic accuracy, and patient outcomes from greater AI integration in healthcare, and also have voiced concerns around data privacy, algorithmic bias, and diffused accountability. This paper adds to the literature by proposing an ethical framework that allows for both describing and normatively evaluating AI‐mediated healthcare delivery based on its potential impact on human‐centered patient care. Drawing upon Pelligrino's notions of the patient–doctor relationship, we propose a framework with two axes, one related to spectrum of patient engagement and the other related to the clinician's role, through which to assess the use of AI in healthcare. Technologies and tools that have minimal to no interaction with patients and primarily assist physicians in making clinical decisions tend to have the least ethical challenges. On the other hand, those that are fully patient‐facing and work in parallel with doctors or autonomously in therapeutic or decisional roles are the most controversial, as they risk making healthcare less human‐centric. As we advance toward more pervasive integration of AI in healthcare, our framework can facilitate upfront design and downstream implementation‐related decisions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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