ArticleJournal of general internal medicine2019
Ten Ways Artificial Intelligence Will Transform Primary Care.
Article in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
100 citing papers in PubMed, 5 syntheses or guidelines pooled it, 243 citations in OpenAlex.
- Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies.Journal of medical Internet research · 2025Pooled it
- Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.BMC primary care · 2025Pooled it
- Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care: A Systematic Review.JAMA network open · 2024Pooled it
- Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review.PloS one · 2022Pooled it
- Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.Yearbook of medical informatics · 2020Guideline
- Trial
- Assessing the integration of digitalization and AI in general medicine curricula in German-speaking Europe: a comprehensive survey.Medical education online · 2026Article
- The role and utility of artificial intelligence and machine learning for diagnostic prediction in general practice.The European journal of general practice · 2026Article
- The Double-Edged Sword Effect of AI Application Among Clinical Nurses Based on the Job Demands-Resources Model: Qualitative Study.JMIR nursing · 2026Article
- The consultant's guide: evidence-based digital transformation framework for healthcare institutions in developing and resource-constrained economies.BMC medical informatics and decision making · 2026Article
- Earlier medically ready for discharge date entry associated with lower unnecessary bed days.BMC health services research · 2026Article
- Article
- Toward a family medicine capability framework for Canada: From competence to capability.Canadian family physician Medecin de famille canadien · 2026Article
- Revolutionizing Multimorbidity Care: A Narrative Review on Artificial Intelligence Applications.Health science reports · 2026Article
- A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study.JMIR medical informatics · 2026Article
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Application of a machine learning model to predict the estimated primary care patient time consumption.npj health systems · 2026Article
- Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions.Journal of general internal medicine · 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
- Artificial Intelligence Readiness Among Young Family Doctors in Europe.Annals of family medicine · 2025Article
40 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
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is poised as a transformational force in healthcare. This paper presents a current environmental scan, through the eyes of primary care physicians, of the top ten ways AI will impact primary care and its key stakeholders. We discuss ten distinct problem spaces and the most promising AI innovations in each, estimating potential market sizes and the Quadruple Aims that are most likely to be affected. Primary care is where the power, opportunity, and future of AI are most likely to be realized in the broadest and most ambitious scale. We propose how these AI-powered innovations must augment, not subvert, the patient-physician relationship for physicians and patients to accept them. AI implemented poorly risks pushing humanity to the margins; done wisely, AI can free up physicians' cognitive and emotional space for patients, and shift the focus away from transactional tasks to personalized care. The challenge will be for humans to have the wisdom and willingness to discern AI's optimal role in twenty-first century healthcare, and to determine when it strengthens and when it undermines human healing. Ongoing research will determine the impact of AI technologies in achieving better care, better health, lower costs, and improved well-being of the workforce.
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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.