View in EDS

Exploring natural language processing as a tool to improve in obstetric documentation and care.

Saved in:
Bibliographic Details
Title: Exploring natural language processing as a tool to improve in obstetric documentation and care.
Authors: Sebastian C; David Geffen School of Medicine, University of California, Los Angeles, United States., Gabriel RA; Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, San Diego, CA, United States; Department of Biomedical Informatics, University of California, San Diego Health, La Jolla, San Diego, CA, United States., Sykes A; College of Behavioral Science, California State University Northridge, Northridge, Los Angeles, United States., Cha C; Division of Obstetric Anesthesiology, Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, United States., Burton BN; Division of Obstetric Anesthesiology, Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, United States; Department of Health Policy and Managements, Fielding School of Public Health, University of California, Los Angeles, United States. Electronic address: Bburton@mednet.ucla.edu.
Source: International journal of obstetric anesthesia [Int J Obstet Anesth] 2025 Nov; Vol. 64, pp. 104714. Date of Electronic Publication: 2025 Jun 30.
Publication Type: Letter
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9200430 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-3374 (Electronic) Linking ISSN: 0959289X NLM ISO Abbreviation: Int J Obstet Anesth Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40782692
AccessLevel: 2
PubType: Editorial & Opinion
PubTypeId: editorialOpinion
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Exploring natural language processing as a tool to improve in obstetric documentation and care.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sebastian+C%22">Sebastian C</searchLink>; David Geffen School of Medicine, University of California, Los Angeles, United States.<br /><searchLink fieldCode="AU" term="%22Gabriel+RA%22">Gabriel RA</searchLink>; Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, San Diego, CA, United States; Department of Biomedical Informatics, University of California, San Diego Health, La Jolla, San Diego, CA, United States.<br /><searchLink fieldCode="AU" term="%22Sykes+A%22">Sykes A</searchLink>; College of Behavioral Science, California State University Northridge, Northridge, Los Angeles, United States.<br /><searchLink fieldCode="AU" term="%22Cha+C%22">Cha C</searchLink>; Division of Obstetric Anesthesiology, Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, United States.<br /><searchLink fieldCode="AU" term="%22Burton+BN%22">Burton BN</searchLink>; Division of Obstetric Anesthesiology, Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, United States; Department of Health Policy and Managements, Fielding School of Public Health, University of California, Los Angeles, United States. Electronic address: Bburton@mednet.ucla.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229200430%22">International journal of obstetric anesthesia</searchLink> [Int J Obstet Anesth] 2025 Nov; Vol. 64, pp. 104714. <i>Date of Electronic Publication: </i>2025 Jun 30.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Letter
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9200430 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-3374 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220959289X%22">0959289X </searchLink><i>NLM ISO Abbreviation: </i>Int J Obstet Anesth <i>Subsets: </i>MEDLINE; In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40782692
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijoa.2025.104714
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 104714
    Titles:
      – TitleFull: Exploring natural language processing as a tool to improve in obstetric documentation and care.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sebastian C
      – PersonEntity:
          Name:
            NameFull: Gabriel RA
      – PersonEntity:
          Name:
            NameFull: Sykes A
      – PersonEntity:
          Name:
            NameFull: Cha C
      – PersonEntity:
          Name:
            NameFull: Burton BN
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1532-3374
          Numbering:
            – Type: volume
              Value: 64
          Titles:
            – TitleFull: International journal of obstetric anesthesia
              Type: main
ResultId 1