Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57721, first published .
Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study

Journals

  1. Schwieger A, Angst K, de Bardeci M, Burrer A, Cathomas F, Ferrea S, Grätz F, Knorr M, Kronenberg G, Spiller T, Troi D, Seifritz E, Weber S, Olbrich S. Large language models can support generation of standardized discharge summaries – A retrospective study utilizing ChatGPT-4 and electronic health records. International Journal of Medical Informatics 2024;192:105654 View
  2. Hou Y, Bert C, Gomaa A, Lahmer G, Höfler D, Weissmann T, Voigt R, Schubert P, Schmitter C, Depardon A, Semrau S, Maier A, Fietkau R, Huang Y, Putz F. Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology. Frontiers in Artificial Intelligence 2025;7 View
  3. Bracken A, Reilly C, Feeley A, Sheehan E, Merghani K, Feeley I. Artificial Intelligence (AI) – Powered Documentation Systems in Healthcare: A Systematic Review. Journal of Medical Systems 2025;49(1) View
  4. Ng I, Tung D, Seet T, Yow K, Chan K, Teo D, Chua C. How to write a good discharge summary: a primer for junior physicians. Postgraduate Medical Journal 2025;101(1198):764 View
  5. Ozdag Y, Mahmoud M, Klena J, Grandizio L. Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications. Journal of the American Academy of Orthopaedic Surgeons 2025;33(10):554 View
  6. Zhou J, Zhang J, Wan R, Cui X, Liu Q, Guo H, Shi X, Fu B, Meng J, Yue B, Zhang Y, Zhang Z. Integrating AI into clinical education: evaluating general practice trainees’ proficiency in distinguishing AI-generated hallucinations and impacting factors. BMC Medical Education 2025;25(1) View
  7. Li S, Jiang J, Yang X. Preliminary assessment of large language models’ performance in answering questions on developmental dysplasia of the hip. Journal of Children's Orthopaedics 2025;19(3):207 View
  8. Morgan D, Branch-Elliman W, Goodman K. Time to Study Implementation of AI-Generated Discharge Summaries. JAMA Internal Medicine 2025;185(7):825 View
  9. Idan D, Einav S. Primer on large language models: an educational overview for intensivists. Critical Care 2025;29(1) View
  10. Ng I, Choe R, Ong S, Thng C, Neo J, Teo D, Chua C. Postgraduate Pedagogical Training and Interventions to Promote High‐Quality Discharge Summaries. The Clinical Teacher 2025;22(5) View
  11. Li X, Zhang Y, Zheng T, Deng Y, Lu Y, Hu J, Chen S, Li Y, Wang K. Using large language models to generate child-friendly education materials on myopia. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Paraschiv E, Elena Cîrnu C, Victor Vevera A. Electronic Health Records - Issues and Challenges in Healthcare Systems. View
  2. Taheri A, Farhadi A, Zamanifar A. Application of Generative AI in Healthcare Systems. View