This paper is in the following e-collection/theme issue:

Clinical Informatics (919) Electronic Health Records (971) Natural Language Processing (650) Obstetrics, Gynecology, and Reproductive Medicine (198) Clinical Information and Decision Making (1340)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29015, first published .
Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification

Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification

Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification

Authors of this article:

Sungrim Moon1 Author Orcid Image ;   Luke A Carlson1 Author Orcid Image ;   Ethan D Moser2 Author Orcid Image ;   Bhavani Singh Agnikula Kshatriya1 Author Orcid Image ;   Carin Y Smith3 Author Orcid Image ;   Walter A Rocca2, 4, 5 Author Orcid Image ;   Liliana Gazzuola Rocca2 Author Orcid Image ;   Suzette J Bielinski2 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image ;   Nicholas B Larson3 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

Journals

  1. Pavlov K, Montalvo F, Sasser J, Jones L, McConnell D, Smither J. Applying User Experience Principles to Patient Experiences. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):761 View
  2. Pongdee T, Larson N, Divekar R, Bielinski S, Liu H, Moon S. Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study. JMIR AI 2023;2:e44191 View
  3. Roberts Davis M, Hiatt S, Gupta N, Dieckmann N, Hansen L, Denfeld Q. Incorporating reproductive system history data into cardiovascular nursing research to advance women’s health. European Journal of Cardiovascular Nursing 2024;23(2):206 View
  4. Johnson C, Bradley C, Kenne K, Rabice S, Takacs E, Vollstedt A, Kowalski J. Evaluation of ChatGPT for Pelvic Floor Surgery Counseling. Urogynecology 2024;30(3):245 View

Books/Policy Documents

  1. Osborn S, Choo K. Future Access Enablers for Ubiquitous and Intelligent Infrastructures. View