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

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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
Description
ISSN:1532-3374
DOI:10.1016/j.ijoa.2025.104714