ArticleBMC medical informatics and decision making2024
Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications.
Article in BMC medical informatics and decision making, 2024. 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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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Revolutionizing diagnosis of pulmonaryFrontiers in microbiology · 2024Pooled it
- Large Language Model-Generated Electronic Consultations: A Blinded Comparative Study of OpenEvidence and Gastroenterologist Electronic Consultations.Mayo Clinic proceedings. Digital health · 2026Article
- Patient experience and psychologists' attitudes toward AI in psychological treatment: A topic-modeling study.Internet interventions · 2026Article
- Evaluating Large Language Models for AI-Assisted Decision Support in Legal Capacity Assessment: A Comparative Study Using Interdisciplinary Medical Board Recommendations as the Expert Medical Reference Standard.Healthcare (Basel, Switzerland) · 2026Article
- Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance.BMC medical informatics and decision making · 2026Article
- Patient Cognitive Bias in Large Language Model-Supported Health Consultations: Simulation-Based Comparative Study.Journal of medical Internet research · 2026Article
- Artificial Intelligence in Couple and Family Therapy: Introduction of the AI Competencies.Journal of marital and family therapy · 2026Article
- Article
- Article
- Evaluating GPT-4o in high-stakes medical assessments: performance and error analysis on a Chilean anesthesiology exam.BMC medical education · 2025Article
- Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review.Journal of medical Internet research · 2025Article
- Ethical implications of using general-purpose LLMs in clinical settings: a comparative analysis of prompt engineering strategies and their impact on patient safety.BMC medical informatics and decision making · 2025Article
- Development and evaluation of large-language models (LLMs) for oncology: A scoping review.PLOS digital health · 2025Article
- Dall-E in hand surgery: Exploring the utility of ChatGPT image generation.Surgery open science · 2025Article
- A scoping review of large language models for generative tasks in mental health care.NPJ digital medicine · 2025Article
- Consensus on the Potential of Large Language Models in Healthcare: Insights from a Delphi Survey in Korea.Healthcare informatics research · 2025Article
- Validating large language models against manual information extraction from case reports of drug-induced parkinsonism in patients with schizophrenia spectrum and mood disorders: a proof of concept study.Schizophrenia (Heidelberg, Germany) · 2025Article
- Evaluating Diagnostic Accuracy and Treatment Efficacy in Mental Health: A Comparative Analysis of Large Language Model Tools and Mental Health Professionals.European journal of investigation in health, psychology and education · 2025Article
- Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives.Frontiers in public health · 2025Article
- Exploring the medical ethical limitations of GPT-4 in clinical decision-making scenarios: a pilot survey.Frontiers in public health · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to explain and categorize key ethical concerns about integrating large language models (LLMs) in healthcare, drawing particularly from the perspectives of clinicians in online discussions. MATERIALS AND
methodsWe analyzed 3049 posts and comments extracted from a self-identified clinician subreddit using unsupervised machine learning via Latent Dirichlet Allocation and a structured qualitative analysis methodology.
resultsAnalysis uncovered 14 salient themes of ethical implications, which we further consolidated into 4 overarching domains reflecting ethical issues around various clinical applications of LLM in healthcare, LLM coding, algorithm, and data governance, LLM's role in health equity and the distribution of public health services, and the relationship between users (human) and LLM systems (machine). DISCUSSION: Mapping themes to ethical frameworks in literature illustrated multifaceted issues covering transparent LLM decisions, fairness, privacy, access disparities, user experiences, and reliability.
conclusionThis study emphasizes the need for ongoing ethical review from stakeholders to ensure responsible innovation and advocates for tailored governance to enhance LLM use in healthcare, aiming to improve clinical outcomes ethically and effectively.
Indexed as
Identifiers
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.