ArticleDigital health
Critical analysis of the AI impact on the patient-physician relationship: A multi-stakeholder qualitative study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- A Qualitative Comparative Study of the Doctor-Patient Relationship Model and Decision-Making Style among Chinese and Japanese Doctors.Asian bioethics review · 2026Article
- The Doctrine of the Mean and Doctor-Patient Relationship: Proposal for the Doctor-Seeking-the-Mean Model.Journal of bioethical inquiry · 2026Article
- Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.Journal of medical Internet research · 2026Article
- Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.Journal of medical Internet research · 2026Article
- A dialectical lens for AI and medical humanities: advancing responsible augmented humanism in Digital Public Health.Frontiers in public health · 2026Review
- Patient and dental practitioner acceptance of artificial intelligence in dental care: a cross-sectional study in Saudi Arabia's eastern province.Frontiers in oral health · 2026Article
- Transformative Impact of the Internet on the Boundaries for the Physician Profession: Why Materiality Matters.Journal of medical Internet research · 2025Article
- How Could Artificial Intelligence Change the Doctor-Patient Relationship? A Medical Ethics Perspective.Healthcare (Basel, Switzerland) · 2025Review
- Article
- Navigating artificial intelligence in home healthcare: challenges and opportunities in nursing wound care.BMC nursing · 2025Article
- The silent epidemic of non-adherence - insights from the 2024 a:care congress.BMC proceedings · 2025Article
- Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study.JMIR medical informatics · 2025Article
- Toward Safe and Ethical Implementation of Health Care Artificial Intelligence: Insights From an Academic Medical Center.Mayo Clinic proceedings. Digital health · 2025Review
- OpenEvidence: Enhancing Medical Student Clinical Rotations With AI but With Limitations.Cureus · 2025Article
- Artificial intelligence in emergency department triage: perspective of human professionals.Frontiers in digital health · 2025Article
- Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study.Frontiers in digital health · 2025Article
- Artificial Intelligence awarded two Nobel Prizes for innovations that will shape the future of medicine.NPJ digital medicine · 2024Article
- Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study.BMC medical ethics · 2024Article
- From "online brains" to "online lives": understanding the individualized impacts of Internet use across psychological, cognitive and social dimensions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This qualitative study aims to present the aspirations, expectations and critical analysis of the potential for artificial intelligence (AI) to transform patient-physician relationship, according to multi-stakeholder insight. Methods: This study was conducted from June to December 2021, using an anticipatory ethics approach and sociology of expectations as the theoretical frameworks. It focused mainly on three groups of stakeholders; namely, physicians (n = 12), patients (n = 15) and healthcare managers (n = 11), all of whom are directly related to the adoption of AI in medicine (n = 38). Results: In this study, interviews were conducted with 40% of the patients in the sample (15/38), as well as 31% of the physicians (12/38) and 29% of health managers in the sample (11/38). The findings highlight the following: (1) the impact of AI on fundamental aspects of the patient-physician relationship and the underlying importance of a synergistic relationship between the physician and AI; (2) the potential for AI to alleviate workload and reduce administrative burden by saving time and putting the patient at the centre of the caring process and (3) the potential risk to the holistic approach by neglecting humanness in healthcare. Conclusions: This multi-stakeholder qualitative study, which focused on the micro-level of healthcare decision-making, sheds new light on the impact of AI on healthcare and the potential transformation of patient-physician relationship. The results of the current study highlight the need to adopt a critical awareness approach to the implementation of AI in healthcare by applying critical thinking and reasoning. It is important not to rely solely upon the recommendations of AI while neglecting clinical reasoning and physicians' knowledge of best clinical practices. Instead, it is vital that the core values of the existing patient-physician relationship - such as trust and honesty, conveyed through open and sincere communication - are preserved.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.