The Ethics of Integration: Why Healthcare AI Must Be Evaluated Within Clinical and Research Workflows.
This article focuses on the emerging ethical challenge of integrating artificial intelligence (AI) into healthcare workflows beyond traditional concerns about algorithmic performance, bias, and privacy. It argues that ethical evaluation must consider how AI tools influence decision-making processes,...
| Publicado en: | American Journal of Bioethics Vol. 26; no. 8; pp. 6 - 9 |
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| Formato: | commentary editorial Journal Article |
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Taylor & Francis Ltd
Aug2026
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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=ccm&AN=195895408&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195895408 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15265161 FKZ jtl: American Journal of Bioethics issn: 15265161 maglogo: N pubinfo: dt: Aug2026 vid: 26 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 195895408 195895408 195895408 10.1080/15265161.2026.2699706 195895408 ppf: 6 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Ethics of Integration: Why Healthcare AI Must Be Evaluated Within Clinical and Research Workflows. aug: au: Yiadom, Maame Yaa A. B. affil: Stanford University sug: subj: Research Subject Recruitment Ethical Issues Artificial Intelligence Ethical Issues Clinical Research Research Ethics Workflow Ethical Issues Artificial Intelligence, Generative Ethical Issues Documentation Ethical Issues Electronic Health Records Ethical Issues Federated Learning Ethical Issues Health Care Delivery Collaboration Accountability Implementation Science ab: This article focuses on the emerging ethical challenge of integrating artificial intelligence (AI) into healthcare workflows beyond traditional concerns about algorithmic performance, bias, and privacy. It argues that ethical evaluation must consider how AI tools influence decision-making processes, behaviors, and outcomes within complex healthcare delivery systems, emphasizing the need for workflow integration ethics. The discussion highlights that AI functions as part of sociotechnical systems, requiring healthcare organizations to monitor and govern AI’s operational impacts continuously, including transparency, accountability, and human-AI collaboration. The article calls for incorporating principles from implementation science and organizational governance to ensure responsible deployment and oversight of AI in clinical and research settings. pubtype: Academic Journal doctype: commentary editorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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