Large Language Model-Based Responses to Patients' In-Basket Messages
Large Language Model-Based Responses to Patients' In-Basket Messages
About this item
Full title
Author / Creator
Publisher
United States: American Medical Association
Journal title
Language
English
Formats
Publication information
Publisher
United States: American Medical Association
Subjects
More information
Scope and Contents
Contents
Virtual patient-physician communications have increased since 2020 and negatively impacted primary care physician (PCP) well-being. Generative artificial intelligence (GenAI) drafts of patient messages could potentially reduce health care professional (HCP) workload and improve communication quality, but only if the drafts are considered useful.
Alternative Titles
Full title
Large Language Model-Based Responses to Patients' In-Basket Messages
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11252893
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11252893
Other Identifiers
ISSN
2574-3805
E-ISSN
2574-3805
DOI
10.1001/jamanetworkopen.2024.22399
