ArticleBJGP open2024
Transforming healthcare documentation: harnessing the potential of AI to generate discharge summaries.
Article in BJGP open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis 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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.Journal of medical systems · 2025Pooled it
- Artificial Intelligence in Clinical Nutrition: Current Uses, Challenges, and Opportunities.Nutrients · 2026Review
- Expert-Rated Documentary Quality of AI-Assisted Hospital Discharge Reports: A Retrospective Paired Comparison with Physician-Written Reports.Healthcare (Basel, Switzerland) · 2026Article
- Exploring the Potential of Ambient AI for Inpatient Documentation: A Qualitative Study with Junior Doctors.Journal of medical systems · 2026Article
- Artificial Intelligence-Mediated Discharge Document for Accessible Health Care (AIM-HEALTH): Protocol for a Prospective, Observational, Noninterventional Study.JMIR research protocols · 2026Observational
- Artificial intelligence in the emergency department-- applications, perceptions and limitations: a narrative review.World journal of emergency medicine · 2026Review
- Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trial.PLOS digital health · 2026Article
- Quality Evaluation of Large Language Model-Assisted Generation of Initial Senior Physician Ward Round Records for Patients With Acute Poisoning: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Prompt Architecture as a High-Impact Design Factor in Expert-Rated Clinical Documentation Quality: A Controlled Comparative Study in Inpatient Rehabilitation.Bioengineering (Basel, Switzerland) · 2026Article
- Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study.JMIR formative research · 2026Article
- [AI-based physician correspondence - promise or peril? : Project Group Artificial Intelligence of the Digitalization Working Group of the German Society for Orthopedics and Trauma Surgery].Orthopadie (Heidelberg, Germany) · 2026Review
- ED-Explain: Personalized Video Instructions for Patients Discharged from the Emergency Department.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2026Article
- Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation.The Medical journal of Australia · 2025Review
- After-visit and discharge summaries: a scoping review of stakeholder perspectives and experiences.BMC health services research · 2025Article
- A quality improvement project of patient perception of AI-generated discharge summaries: a comparison with doctor-written summaries.Annals of the Royal College of Surgeons of England · 2025Article
- One template does not fit all: where next to improve hospital discharge communication to primary care?Primary health care research & development · 2025Article
- Improving specialist palliative care discharges from hospitals and hospices to community settings: a qualitative interview study of the communication experiences of patients, carers, and primary care professionals.BMC palliative care · 2025Article
- Evaluating the performance of artificial intelligence in summarizing pre-coded text to support evidence synthesis: a comparison between chatbots and humans.BMC medical research methodology · 2025Article
- Diagnosis Documentation Done Right: Cross-Specialty Standard for the Diagnosis Section in German Discharge Summaries - A Mixed-Methods Study.Journal of general internal medicine · 2025Article
- Exploring the Potential of ChatGPT for the Summarization of Patient Medical Histories: A Pilot Study.Cureus · 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHospital discharge summaries play an essential role in informing GPs of recent admissions to ensure excellent continuity of care and prevent adverse events; however, they are notoriously poorly written, time-consuming, and can result in delayed discharge.
aimTo evaluate the potential of artificial intelligence (AI) to produce high-quality discharge summaries equivalent to the level of a doctor who has completed the UK Foundation Programme. DESIGN &
settingFeasibility study using 25 mock patient vignettes.
methodTwenty-five mock patient vignettes were written by the authors. Five junior doctors wrote discharge summaries from the case vignettes (five each). The same case vignettes were input into ChatGPT. In total, 50 discharge summaries were generated; 25 by Al and 25 by junior doctors. Quality and suitability were determined through both independent GP evaluators and adherence to a minimum dataset.
resultsOf the 25 AI-written discharge summaries 100% were deemed by GPs to be of an acceptable quality compared with 92% of the junior doctor summaries. They both showed a mean compliance of 97% with the minimum dataset. In addition, the ability of GPs to determine if the summary was written by ChatGPT was poor, with only a 60% accuracy of detection. Similarly, when run through an AI-detection tool all were recognised as being very unlikely to be written by AI.
conclusionAI has proven to produce discharge summaries of equivalent quality to a junior doctor who has completed the UK Foundation Programme; however, larger studies with real-world patient data with NHS-approved AI tools will need to be conducted.
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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.