ArticleThe Lancet regional health. Western Pacific2024
Integration of customised LLM for discharge summary generation in real-world clinical settings: a pilot study on RUSSELL GPT.
Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- Automated Brief Hospital Course Summarization in Cardiac Surgery Using a Lightweight Large Language Model-Based Framework: Development and Evaluation Study on the Medical Information Mart for Intensive Care-IV.Journal of medical Internet research · 2026Article
- An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions.Journal of medical Internet research · 2026Article
- Evolving practice of general internal medicine in the current medical landscape.Internal medicine journal · 2026Review
- Comparative Analysis of Japanese Clinical Note Styles Between Physicians and Large Language Models Using Identical Psychiatric Cases: Quantitative Text Analysis.JMIR formative research · 2026Article
- Decoding Clinician Authorial Style: A Style-Informed Pipeline for Clinical Document Summary Generation with Large Language Models.Research square · 2026Article
- Toward Responsible and Privacy-Preserving Generation of Inpatient Clinical Discharge Notes Using Large Language Models.Computational and structural biotechnology journal · 2026Article
- The MediVoice implementation journey: ambient artificial intelligence for clinical documentation.Frontiers in digital health · 2026Article
- Virtual medicine: medical AI in human health and diseases.Military Medical Research · 2026Review
- Shifts in emergency physicians' attitudes toward large language model-based documentation: a pre- and post-implementation study.Scientific reports · 2025Article
- Artificial intelligence for autoimmune diseases.NPJ digital medicine · 2025Article
- Large Language Model Assistant for Emergency Department Discharge Documentation.JAMA network open · 2025Article
- Artificial intelligence tool development: what clinicians need to know?BMC medicine · 2025Review
- Privacy preserving strategies for electronic health records in the era of large language models.NPJ digital medicine · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.