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

Decision Support for Health Professionals (1127) Natural Language Processing (636) Electronic Health Records (961) Ontologies, Classifications, and Coding (223) Clinical Information and Decision Making (1314) Clinical Informatics (904)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39616, first published .
Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents: Prospective Crossover Study

Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents: Prospective Crossover Study

Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents: Prospective Crossover Study

Authors of this article:

Eunsoo H Park1, 2 Author Orcid Image ;   Hannah I Watson2 Author Orcid Image ;   Felicity V Mehendale3 Author Orcid Image ;   Alison Q O'Neil2, 4 Author Orcid Image ;   Clinical Evaluators5
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Afshar M, Adelaine S, Resnik F, Mundt M, Long J, Leaf M, Ampian T, Wills G, Schnapp B, Chao M, Brown R, Joyce C, Sharma B, Dligach D, Burnside E, Mahoney J, Churpek M, Patterson B, Liao F. Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults. JMIR Medical Informatics 2023;11:e44977 View
  2. Nashwan A, Hani S. Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment. Contemporary Clinical Trials Communications 2023;36:101223 View