ReviewJournal of primary care & community health
Opportunities and Challenges for Large Language Models in Primary Health Care.
Review in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Concerns of Using Large Language Models in Health Care Research and Practice: Umbrella Review.Journal of medical Internet research · 2026Pooled it
- A systematic review of ethical considerations of large language models in healthcare and medicine.Frontiers in digital health · 2025Pooled it
- Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Evaluating large language model`s performance in answering principles of health course questions.Scientific reports · 2026Article
- Spatial disparities and dynamic evolution of health human resources in primary healthcare institutions in China: a study from the perspective of aggregation degree.BMC health services research · 2026Article
- Article
- Diagnostic interpretation of pure tone audiograms by multimodal LLMs: A comparative study of ChatGPT-5.0 and Gemini 2.5.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- Benchmarking Large Language Models on the Taiwan Neurology Board Examinations (2018-2024): A Comparative Evaluation of GPT-4o, GPT-o1, DeepSeek-V3, and DeepSeek-R1.Bioengineering (Basel, Switzerland) · 2026Article
- A Survey on Medical Competence Evaluation Benchmarks for Large Language Models.Health care science · 2026Review
- Integrating Artificial Intelligence (AI) in Primary Health Care (PHC) Systems: A Framework-Guided Comparative Qualitative Study.Healthcare (Basel, Switzerland) · 2026Article
- Performance comparison of large language models for medication counseling in people living with HIV.Frontiers in public health · 2026Article
- Large Language Models and Primary Care: A Scoping Review.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Risk Management of Large Language Model-Based Exercise and Health Guidance: A China-Anchored, Comparatively Informed Six-Dimensional Trigger Matrix and Lifecycle Governance Framework for the Wellness-to-SaMD Continuum.Risk management and healthcare policy · 2026Review
- Returning aggregate research results to participants: a scoping review of current practices, preferences and challenges.BMJ open · 2025Article
- Multimodal Large Language Models in Medical Imaging: Current State and Future Directions.Korean journal of radiology · 2025Review
- Digital Cardiovascular Twins, AI Agents, and Sensor Data: A Narrative Review from System Architecture to Proactive Heart Health.Sensors (Basel, Switzerland) · 2025Review
- Clinical applications of large language models in medicine and surgery: A scoping review.The Journal of international medical research · 2025Article
- Large language models in clinical nutrition: an overview of its applications, capabilities, limitations, and potential future prospects.Frontiers in nutrition · 2025Review
- From Apomediation to AImediation: Generative AI and the Reconfiguration of Informational Authority in Health Communication.Journal of primary care & community healthArticle
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
No grant is acknowledged in the PubMed record.
Abstract
Primary Health Care (PHC) is the cornerstone of the global health care system and the primary objective for achieving universal health coverage. China's PHC system faces several challenges, including uneven distribution of medical resources, a lack of qualified primary healthcare personnel, an ineffective implementation of the hierarchical medical treatment, and a serious situation regarding the prevention and control of chronic diseases. The rapid advancement of artificial intelligence (AI) technology, large language models (LLMs) demonstrate significant potential in the medical field with their powerful natural language processing and reasoning capabilities, especially in PHC. This review focuses on the various potential applications of LLMs in China's PHC, including health promotion and disease prevention, medical consultation and health management, diagnosis and triage, chronic disease management, and mental health support. Additionally, pragmatic obstacles were analyzed, such as transparency, outcomes misrepresentation, privacy concerns, and social biases. Future development should emphasize interdisciplinary collaboration and resource sharing, ongoing improvements in health equity, and innovative advancements in medical large models. There is a demand to establish a safe, effective, equitable, and flexible ethical and legal framework, along with a robust accountability mechanism, to support the achievement of universal health coverage.
Indexed as
Identifiers
What Socratic 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 Socratic graph.