ArticleFrontiers in digital health2024
Comparative study of Claude 3.5-Sonnet and human physicians in generating discharge summaries for patients with renal insufficiency: assessment of efficiency, accuracy, and quality.
Article in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- From assistant to collaborator: A systematic review of the evolution of artificial intelligence in end-stage renal disease care and management.PLOS digital health · 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
- Performance of large language models in mitral valve surgery patient education: a comparative analysis.BMC medical informatics and decision making · 2026Article
- [Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].Innere Medizin (Heidelberg, Germany) · 2026Review
- Performance of 4 artificial intelligence chatbots in responding to multiple choice questions in operative dentistry.BMC oral health · 2026Article
- Article
- Applications of Large Language Models and Prompt Optimization for Knowledge Extraction from Biological Pathway Figures.IEEE journal of biomedical and health informatics · 2025Article
- Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts.JMIR formative research · 2025Article
- Evaluation of the performance of large language models in endoscopic lumbar surgery: a comparative analysis.Annals of medicine and surgery (2012) · 2025Article
- AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis.Frontiers in artificial intelligence · 2025Article
- AI performance in emergency medicine fellowship examination: comparative analysis of ChatGPT-4o, Gemini 2.0, Claude 3.5, and DeepSeek R1 models.Turkish journal of medical sciences · 2025Observational
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6 authors.
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Abstract
Background: The rapid development of artificial intelligence (AI) has shown great potential in medical document generation. This study aims to evaluate the performance of Claude 3.5-Sonnet, an advanced AI model, in generating discharge summaries for patients with renal insufficiency, compared to human physicians. Methods: A prospective, comparative study was conducted involving 100 patients (50 with acute kidney injury and 50 with chronic kidney disease) from the nephrology department of Ningbo Hangzhou Bay Hospital between January and June 2024. Discharge summaries were independently generated by Claude 3.5-Sonnet and human physicians. The main evaluation indicators included accuracy, generation time, and overall quality. Results: Claude 3.5-Sonnet demonstrated comparable accuracy to human physicians in generating discharge summaries for both AKI (90 vs. 92 points, Conclusion: Claude 3.5-Sonnet demonstrates high efficiency and reliability in generating discharge summaries for patients with renal insufficiency, with accuracy and quality comparable to those of human physicians. These findings suggest that AI has significant potential to improve the efficiency of medical documentation, though further research is needed to optimize its integration into clinical practice and address ethical and privacy concerns.
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