{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Rinne ST"],"funding":["NIEHS NIH HHS","HSRD VA"],"pagination":["1426057"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11540825"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["6"],"pubmed_abstract":["Objective
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.Materials and methods
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 partici"],"journal":["Frontiers in digital health"],"pubmed_title":["A use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science."],"pmcid":["PMC11540825"],"funding_grant_id":["I50 HX003637","P30 ES030285","IK6 HX003765"],"pubmed_authors":["Hysong SJ","Rinne ST","McKee G","Elwy AR","Midboe A","Ferguson JM","Helmer DA","Shepherd-Banigan ME","Brunner J","Hogan TP"],"additional_accession":[]},"is_claimable":false,"name":"A use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science.","description":"Objective
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.Materials and methods
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 partici","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-07-16T18:50:13.931Z","creation":"2025-04-06T11:47:09.991Z"},"accession":"S-EPMC11540825","cross_references":{"pubmed":["39512857"],"doi":["10.3389/fdgth.2024.1426057"]}}