ArticleJournal of clinical medicine2025
Challenges of Implementing LLMs in Clinical Practice: Perspectives.
Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Artificial Intelligence for Clinical Decision Support in Rural Spine Care: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance.Journal of medical Internet research · 2026Article
- Assessing diagnostic performance of multimodal LLMs and a custom convolutional neural network in tooth-level caries detection and localization.BMC oral health · 2026Article
- Review
- Large Language Models Accurately Identify People Who Inject Drugs From Infectious Diseases Discharge Summaries in an Australian Hospital.Drug and alcohol review · 2026Article
- Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering.JMIR formative research · 2026Article
- Large Language Model Recommendations for Empiric Antibiotics Versus Clinician Prescribing: A Non-Interventional Paired Retrospective Antimicrobial Stewardship Analysis.Antibiotics (Basel, Switzerland) · 2026Article
- Generative Artificial Intelligence in Neonatal Diagnostic Reasoning: Promise, Prudence, and the Path Ahead.Indian journal of pediatrics · 2026Article
- Comparing the Readability and Content Quality of Online Patient Education Materials and ChatGPT-Generated Patient Education Materials for Breast Cancer Surgery and Reconstruction.Archives of plastic surgery · 2026Article
- Innovative Application of Chatbots in Clinical Nutrition Education: The E+DIEting_Lab Experience in University Students.Nutrients · 2026Article
- Artificial intelligence can match domain experts in evidence extraction and critical appraisal of microbial oncogenesis research publications.Frontiers in cellular and infection microbiology · 2026Article
- Cross-interface persistent memory for large language model-assisted radiology research workflows: a Claude-based proof-of-concept technical development.Frontiers in radiology · 2026Article
- Role reconstruction among double-qualified nursing educators in the generative AI era: a qualitative study.Frontiers in medicine · 2026Article
- [LLM-based extraction of clinical data: potentials and challenges].Orthopadie (Heidelberg, Germany) · 2026Review
- Performance of large language model in cross-specialty medical scenarios.Journal of translational medicine · 2025Article
- Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large language models (LLMs) have the potential to transform healthcare by assisting in documentation, diagnosis, patient communication, and medical education. However, their integration into clinical practice remains a challenge. This perspective explores the barriers to implementation by synthesizing recent evidence across five challenge domains: workflow misalignment and diagnostic safety, bias and equity, regulatory and legal governance, technical vulnerabilities such as hallucinations or data poisoning, and the preservation of patient trust and human connection. While the perspective focuses on barriers, LLM capabilities and mitigation strategies are advancing rapidly, raising the likelihood of near-term clinical impact. Drawing on recent empirical studies, we propose a framework for understanding the key technical, ethical, and practical challenges associated with deploying LLMs in clinical environments and provide directions for future research, governance, and responsible deployment.
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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.