ArticleJournal of the American Medical Informatics Association : JAMIA2025
Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships.
Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrated Multimodal Approaches in Pediatric Palliative Oncology: A Systematic Review Focused on Infants and Toddlers.In vivo (Athens, Greece)Pooled it
- Ethical and Legal Challenges of Partially and Fully Autonomous AI in Healthcare: Reinterpreting Liability and Preserving Trust.Bioethics · 2026Article
- Hospital Human Resource Managers' Perspectives on Organizational Readiness for Generative AI Skills: Qualitative Descriptive Study.JMIR medical informatics · 2026Article
- Patients' and Providers' Attitudes Toward Artificial Intelligence and Electronic Health Record Use in Deep Phenotyping and Rare-Disease Screening: An Empty Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Patient attitudes toward artificial intelligence in Jordanian Healthcare: A cross-sectional survey study.PLOS digital health · 2026Article
- Intelligent virtual agents in psychotherapy: a safety evaluation across high-risk mental health scenarios.Scientific reports · 2026Article
- Determinants of Trust in Artificial Intelligence (AI) for Health-Related Decision-Making Among Adults in Saudi Arabia: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study.JMIR AI · 2026Article
- Behavioral Dynamics of AI Trust and Health Care Delays Among Adults: Integrated Cross-Sectional Survey and Agent-Based Modeling Study.Journal of medical Internet research · 2026Article
- Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study.Journal of medical Internet research · 2026Article
- The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality.Frontiers in medicine · 2026Article
- The Opportunity Cost of Market Narratives in Health Care AI.NAM perspectives · 2026Article
- Mapping Clinical Intent in Internet Hospitals: Identifying and Profiling Patient Demand via Natural Language Processing.Computational and structural biotechnology journal · 2026Article
- Understanding Acceptability of AI Triage Tools Amongst Underserved Populations: Lessons From the Early Phases of Co-Production With Bangladeshi Communities in Birmingham, UK.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Toward Artificial Intelligence in Oncology and Cardiology: A Narrative Review of Systems, Challenges, and Opportunities.Journal of clinical medicine · 2025Article
- Charting the evolution of artificial intelligence mental health chatbots from rule-based systems to large language models: a systematic review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Diversity, equity, and inclusion matter for biomedical and health informatics.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Population health management through human phenotype ontology with policy for ecosystem improvement.Frontiers in artificial intelligence · 2025Article
- Influencing public acceptance of artificial intelligence (AI) in healthcare delivery.Frontiers in digital health · 2025Article
- Study on the influencing factors and composing path of online healthcare community use: an empirical study based on fsQCA.Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
objectivesAlthough efforts to effectively govern AI continue to develop, relatively little work has been done to systematically measure and include patient perspectives or expectations of AI in governance. This analysis is designed to understand patient expectations of healthcare AI. MATERIALS AND
methodsCross-sectional nationally representative survey of US adults fielded from June to July of 2023. A total of 2039 participants completed the survey and cross-sectional population weights were applied to produce national estimates.
resultsAmong US adults, 19.55% expect AI to improve their relationship with their doctor, while 19.4% expect it to increase affordability and 30.28% expect it will improve their access to care. Trust in providers and the healthcare system are positively associated with expectations of AI when controlling for demographic factors, general attitudes toward technology, and other healthcare-related variables. DISCUSSION: US adults generally have low expectations of benefit from AI in healthcare, but those with higher trust in their providers and health systems are more likely to expect to benefit from AI.
conclusionTrust and provider relationships should be key considerations for health systems as they create their AI governance processes and communicate with patients about AI tools. Evidence of patient benefit should be prioritized to preserve or promote trust.
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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.