Patient-Friendly Discharge Summaries in Korea Based on ChatGPT: Software Development and Validation

CONCLUSION: Large-language models utilizing Few-shot prompts generally produce acceptable discharge summaries without significant misinformation. Our research highlights the potential of such models in creating patient-friendly discharge summaries for Korean patients to support patient-centered care.PMID:38685890 | PMC:PMC11058343 | DOI:10.3346/jkms.2024.39.e148
Source: J Korean Med Sci - Category: General Medicine Authors: Source Type: research