ArticleBulletin of the World Health Organization2020
Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare.
Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.
- Artificial intelligence in headache medicine: between automation and the doctor-patient relationship. A systematic review.The journal of headache and pain · 2025Pooled it
- Effectiveness of Virtual Reality on the Caregiving Competence and Empathy of Caregivers for Elderly with Chronic Diseases: A Systematic Review and Meta-Analysis.Journal of nursing management · 2023Pooled it
- The Perceived Influence of AI on the Craftsmanship of Physicians: Qualitative Interview and Focus Group Study.JMIR AI · 2026Article
- Multidimensional manifestations of artificial intelligence literacy among clinical nurses: a qualitative descriptive study.BMC nursing · 2026Article
- Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States.ESMO real world data and digital oncology · 2026Review
- Artificial Intelligence in Anorexia Nervosa Care: Comparing ChatGPT and Google Gemini.Nutrients · 2026Article
- Artificial intelligence and person-centred practice: a critical reflection.NPJ digital medicine · 2026Review
- Patient Perceptions of Artificial Intelligence in Diabetes Self-Management: Cross-Sectional Survey Study.JMIR formative research · 2026Article
- Cognitive architecture and behavioral model based on social evidence and resource constraints.Brain informatics · 2026Article
- Epistemic authority and medical AI: epistemological differences and challenges in medical practice.Medicine, health care, and philosophy · 2026Article
- Artificial Intelligence in Recurrent Pregnancy Loss: Current Evidence, Limitations, and Future Directions.Journal of clinical medicine · 2026Review
- Interpretable machine learning analysis for relationships betweenFrontiers in cellular and infection microbiology · 2026Article
- Artificial intelligence in dementia care: challenges, controversies, and policy implications.Frontiers in dementia · 2026Article
- Development and Examination of the Psychometric Properties of the Social Perception of Artificial Intelligence in Healthcare Scale in the Turkish Context: Evidence From Hatay Province.International journal of public health · 2026Article
- Parents' Perspectives on Artificial Intelligence-Supported Pediatric Healthcare Services: A Descriptive and Correlational Study.Journal of nursing management · 2026Article
- A nursing perspective on human-AI collaboration in personalized breast cancer care pathways.Frontiers in oncology · 2026Article
- "First, Trust Needs to Develop": Hematologists' Perspectives on Factors Influencing Black Persons' Participation in Clinical Trials.Journal of racial and ethnic health disparities · 2025Article
- Promoting xenomorphic patient-facing AIs: The case against anthropomorphism in medical AIs.NPJ digital medicine · 2025Review
- Compliance with Clinical Guidelines and AI-Based Clinical Decision Support Systems: Implications for Ethics and Trust.Science and engineering ethics · 2025Article
- Importance of Humanities and Compassionate Care in the Age of Artificial Intelligence.JNMA; journal of the Nepal Medical Association · 2025Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Empathy, compassion and trust are fundamental values of a patient-centred, relational model of health care. In recent years, the quest for greater efficiency in health care, including economic efficiency, has often resulted in the side-lining of these values, making it difficult for health-care professionals to incorporate them in practice. Artificial intelligence is increasingly being used in health care. This technology promises greater efficiency and more free time for health-care professionals to focus on the human side of care, including fostering trust relationships and engaging with patients with empathy and compassion. This article considers the vision of efficient, empathetic and trustworthy health care put forward by the proponents of artificial intelligence. The paper suggests that artificial intelligence has the potential to fundamentally alter the way in which empathy, compassion and trust are currently regarded and practised in health care. Moving forward, it is important to re-evaluate whether and how these values could be incorporated and practised within a health-care system where artificial intelligence is increasingly used. Most importantly, society needs to re-examine what kind of health care it ought to promote.
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What OpenQuestion holds
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.