ArticleNPJ digital medicine2024
The quality and safety of using generative AI to produce patient-centred discharge instructions.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The trial behind it
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Who cites it
22 citing papers in PubMed.
- Real-world use and evaluation of a generative AI chatbot for Parkinson's disease information: a prospective observational study.The Lancet regional health. Europe · 2026Article
- An Evidence-Based Framework for Patient-Facing Artificial Intelligence Integration in the Emergency Department.Journal of the American College of Emergency Physicians open · 2026Article
- Artificial intelligence as cognitive support in emergency medicine.Clinical and experimental emergency medicine · 2026Article
- Artificial Intelligence-Mediated Discharge Document for Accessible Health Care (AIM-HEALTH): Protocol for a Prospective, Observational, Noninterventional Study.JMIR research protocols · 2026Observational
- Undergraduate nursing students' perceptions, needs, and expectations regarding large language model-based virtual patients: a qualitative study.BMC nursing · 2026Article
- Large language models for post-discharge follow-up in erectile dysfunction care: a narrative review.Translational andrology and urology · 2026Review
- Why We Need Patients and Community at the Center of AI Health Communication Research.Journal of medical Internet research · 2026Article
- Artificial Intelligence for Medicines Information: Scoping Review of Clinical Applications and Digital Health Inequalities.Journal of medical Internet research · 2026Article
- Assessment of ChatGPT-4.0 versus ChatGPT-Mini in Generating Guideline-Based Hypertension Content.Arquivos brasileiros de cardiologia · 2026Article
- Effectiveness of large language models in preoperative and discharge education: a systematic review based on an evaluation framework.NPJ digital medicine · 2026Article
- Mapping applications and evaluations of LLM-enabled AI chatbots for health purposes: a scoping review.Frontiers in public health · 2026Article
- Validation of an AI-powered mobile application for personalizing medical note explanations: a mixed-methods evaluation.Frontiers in digital health · 2026Article
- Toward Responsible and Privacy-Preserving Generation of Inpatient Clinical Discharge Notes Using Large Language Models.Computational and structural biotechnology journal · 2026Article
- Artificial Intelligence Techniques and Health Literacy: A Systematic Review.Mayo Clinic proceedings. Digital health · 2025Review
- Can co-designed educational interventions help consumers think critically about asking ChatGPT health questions? Results from a randomised-controlled trial.NPJ digital medicine · 2025Article
- Patients Prefer Human Empathy, but Not Always Human Wording: A Single-Blind Within-Subject Trial of GPT-Generated vs. Clinician Discharge Texts in Emergency Ophthalmology.Clinics and practice · 2025Article
- Advancing Toward P6 Medicine: Recommendations for Integrating Artificial Intelligence in Internal Medicine.Clinics and practice · 2025Article
- Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial.Journal of medical Internet research · 2025Article
- A large language model digital patient system enhances ophthalmology history taking skills.NPJ digital medicine · 2025Article
- Achieving ACGME Clinical Informatics Fellowship Accreditation: A Chronicle of Our Institution's Journey.Applied clinical informatics · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient-centred instructions on discharge can improve adherence and outcomes. Using GPT-3.5 to generate patient-centred discharge instructions, we evaluated responses for safety, accuracy and language simplification. When tested on 100 discharge summaries from MIMIC-IV, potentially harmful safety issues attributable to the AI tool were found in 18%, including 6% with hallucinations and 3% with new medications. AI tools can generate patient-centred discharge instructions, but careful implementation is needed to avoid harms.
Identifiers
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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.