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Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study

Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study

Another research study by Nair et al [49] proposed a multistage approach that leveraged few-shot prompting techniques to generate summaries of patient-provider dialogues within the health care domain. They relied on GPT-3 as a model for their multistage approach and validated their method with respect to 100 clinical encounters. They examined in particular the impact of the number of examples provided in the prompt, varying among 1, 3, and 5 examples.

Rakhi Asokkumar Subjagouri Nair, Matthias Hartung, Philipp Heinisch, Janik Jaskolski, Cornelius Starke-Knäusel, Susana Veríssimo, David Maria Schmidt, Philipp Cimiano

JMIR Med Inform 2025;13:e62909