biostudies-literatureRinne STNIEHS NIH HHSHSRD VA1426057https://www.ebi.ac.uk/biostudies/studies/S-EPMC11540825biostudies-literatureUnknown6<h4>Objective</h4>Artificial intelligence (AI) is revolutionizing healthcare, but less is known about how it may facilitate methodological innovations in research settings. In this manuscript, we describe a novel use of AI in summarizing and reporting qualitative data generated from an expert panel discussion about the role of electronic health records (EHRs) in implementation science.<h4>Materials and methods</h4>15 implementation scientists participated in an hour-long expert panel discussion addressing how EHRs can support implementation strategies, measure implementation outcomes, and influence implementation science. Notes from the discussion were synthesized by ChatGPT (a large language model-LLM) to generate a manuscript summarizing the discussion, which was later revised by particiFrontiers in digital healthA use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science.PMC11540825I50 HX003637P30 ES030285IK6 HX003765Hysong SJRinne STMcKee GElwy ARMidboe AFerguson JMHelmer DAShepherd-Banigan MEBrunner JHogan TPfalseA use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science.<h4>Objective</h4>Artificial intelligence (AI) is revolutionizing healthcare, but less is known about how it may facilitate methodological innovations in research settings. In this manuscript, we describe a novel use of AI in summarizing and reporting qualitative data generated from an expert panel discussion about the role of electronic health records (EHRs) in implementation science.<h4>Materials and methods</h4>15 implementation scientists participated in an hour-long expert panel discussion addressing how EHRs can support implementation strategies, measure implementation outcomes, and influence implementation science. Notes from the discussion were synthesized by ChatGPT (a large language model-LLM) to generate a manuscript summarizing the discussion, which was later revised by partici2024-01-01T00:00:00Z20242026-07-16T18:50:13.931Z2025-04-06T11:47:09.991ZS-EPMC115408253951285710.3389/fdgth.2024.1426057