ArticleBMJ health & care informatics2022
Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation.
Article in BMJ health & care informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 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
16 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pooled it
- Sustainability of AI-Assisted Mental Health Intervention: A Review of the Literature from 2020-2025.International journal of environmental research and public health · 2025Pooled it
- Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.BMC primary care · 2025Pooled it
- Access improvement in healthcare: a 12-step framework for operational practice.Frontiers in health services · 2024Pooled it
- Patient Perceptions of Artificial Intelligence-Supported Shared Decision-Making in UK Primary Care for Multiple Long-Term Conditions: Qualitative Study.Journal of medical Internet research · 2026Article
- AI and Primary Care: Scoping Review.Journal of medical Internet research · 2025Article
- Artificial Intelligence in Primary Care: Support or Additional Burden on Physicians' Healthcare Work?-A Qualitative Study.Clinics and practice · 2025Article
- Artificial Intelligence (AI) and the future of Iran's Primary Health Care (PHC) system.BMC primary care · 2025Article
- Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review.Journal of medical Internet research · 2025Article
- Artificial intelligence for family medicine research in Canada: current state and future directions: Report of the CFPC AI Working Group.Canadian family physician Medecin de famille canadien · 2024Article
- Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review.International journal of environmental research and public health · 2023Article
- Involving multiple stakeholders in assessing and reviewing a novel data visualisation tool for a national neonatal data asset.BMJ health & care informatics · 2023Article
- Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?BMC medical informatics and decision making · 2022Article
- Healthcare artificial intelligence: the road to hell is paved with good intentions.BMJ health & care informatics · 2022Article
- Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis.Digital healthReview
- Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop.Annals of family medicineArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite widespread advancements in and envisioned uses for artificial intelligence (AI), few examples of successfully implemented AI innovations exist in primary care (PC) settings.
objectivesTo identify priority areas for AI and PC in Ontario, Canada.
methodsA collaborative consultation event engaged multiple stakeholders in a nominal group technique process to generate, discuss and rank ideas for how AI can support Ontario PC.
resultsThe consultation process produced nine ranked priorities: (1) preventative care and risk profiling, (2) patient self-management of condition(s), (3) management and synthesis of information, (4) improved communication between PC and AI stakeholders, (5) data sharing and interoperability, (6-tie) clinical decision support, (6-tie) administrative staff support, (8) practitioner clerical and routine task support and (9) increased mental healthcare capacity and support. Themes emerging from small group discussions about barriers, implementation issues and resources needed to support the priorities included: equity and the digital divide; system capacity and culture; data availability and quality; legal and ethical issues; user-centred design; patient-centredness; and proper evaluation of AI-driven tool implementation. DISCUSSION: Findings provide guidance for future work on AI and PC. There are immediate opportunities to use existing resources to develop and test AI for priority areas at the patient, provider and system level. For larger scale, sustainable innovations, there is a need for longer-term projects that lay foundations around data and interdisciplinary work.
conclusionStudy findings can be used to inform future research and development of AI for PC, and to guide resource planning and allocation.
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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.