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Leveraging large language models for generating responses to patient messages—a subjective analysis.

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Title: Leveraging large language models for generating responses to patient messages—a subjective analysis.
Authors: Liu, Siru1, siru.liu@vumc.org, McCoy, Allison B1, Wright, Aileen P1,2, Carew, Babatunde3, Genkins, Julian Z4, Huang, Sean S1,2, Peterson, Josh F1,2, Steitz, Bryan1, Wright, Adam1
Source: Journal of the American Medical Informatics Association; Jun2024, Vol. 31 Issue 6, p1367-1379, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 177358008
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Leveraging large language models for generating responses to patient messages—a subjective analysis.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Jun2024, Vol. 31 Issue 6, p1367-1379, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177358008
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/jamia/ocae052
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 1367
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      – TitleFull: Leveraging large language models for generating responses to patient messages—a subjective analysis.
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            NameFull: Liu, Siru
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            NameFull: McCoy, Allison B
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            NameFull: Wright, Aileen P
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            NameFull: Genkins, Julian Z
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            NameFull: Huang, Sean S
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            NameFull: Peterson, Josh F
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 31
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              Value: 6
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            – TitleFull: Journal of the American Medical Informatics Association
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