View in EDS

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.

Saved in:
Bibliographic Details
Title: A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.
Authors: Amrollahi F; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA., Marshall N; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Haredasht FN; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA., Black KC; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Zahedivash A; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Maddali MV; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Ma SP; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Chang A; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Deresinski SC; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Goldstein MK; Department of Health Policy, Stanford University School of Medicine, Stanford, CA, USA., Asch SM; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Banaei N; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA., Chen JH; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Source: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2025 May 22; Vol. 2024, pp. 147-156. Date of Electronic Publication: 2025 May 22 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41726397
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Amrollahi+F%22">Amrollahi F</searchLink>; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Marshall+N%22">Marshall N</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Haredasht+FN%22">Haredasht FN</searchLink>; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Black+KC%22">Black KC</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Zahedivash+A%22">Zahedivash A</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Maddali+MV%22">Maddali MV</searchLink>; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Ma+SP%22">Ma SP</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Chang+A%22">Chang A</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Deresinski+SC%22">Deresinski SC</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Goldstein+MK%22">Goldstein MK</searchLink>; Department of Health Policy, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Asch+SM%22">Asch SM</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Banaei+N%22">Banaei N</searchLink>; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Chen+JH%22">Chen JH</searchLink>; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101209213%22">AMIA ... Annual Symposium proceedings. AMIA Symposium</searchLink> [AMIA Annu Symp Proc] 2025 May 22; Vol. 2024, pp. 147-156. <i>Date of Electronic Publication: </i>2025 May 22 (<i>Print Publication: </i>2024).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Informatics+Association%22">American Medical Informatics Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101209213 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1942-597X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215594076%22">15594076 </searchLink><i>NLM ISO Abbreviation: </i>AMIA Annu Symp Proc <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41726397
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 147
    Titles:
      – TitleFull: A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Amrollahi F
      – PersonEntity:
          Name:
            NameFull: Marshall N
      – PersonEntity:
          Name:
            NameFull: Haredasht FN
      – PersonEntity:
          Name:
            NameFull: Black KC
      – PersonEntity:
          Name:
            NameFull: Zahedivash A
      – PersonEntity:
          Name:
            NameFull: Maddali MV
      – PersonEntity:
          Name:
            NameFull: Ma SP
      – PersonEntity:
          Name:
            NameFull: Chang A
      – PersonEntity:
          Name:
            NameFull: Deresinski SC
      – PersonEntity:
          Name:
            NameFull: Goldstein MK
      – PersonEntity:
          Name:
            NameFull: Asch SM
      – PersonEntity:
          Name:
            NameFull: Banaei N
      – PersonEntity:
          Name:
            NameFull: Chen JH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 22
              M: 05
              Text: 2025 May 22
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1942-597X
          Numbering:
            – Type: volume
              Value: 2024
          Titles:
            – TitleFull: AMIA ... Annual Symposium proceedings. AMIA Symposium
              Type: main
ResultId 1