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

Decision Support for Health Professionals (1468) Natural Language Processing (869) Electronic Health Records (1271) Ontologies, Classifications, and Coding (309) Clinical Information and Decision Making (1807) Clinical Informatics (1257)

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 (7) Tweetations (4) Metrics

Journals

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  3. Eguia H, Sánchez-Bocanegra C, Vinciarelli F, Alvarez-Lopez F, Saigí-Rubió F. Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review. Journal of Medical Internet Research 2024;26:e55315 View
  4. Tajirian T, Lo B, Strudwick G, Tasca A, Kendell E, Poynter B, Kumar S, Chang P, Kung C, Schachter D, Zai G, Kiang M, Hoppe T, Ling S, Haider U, Rabel K, Coombe N, Jankowicz D, Sockalingam S. Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study. JMIR Human Factors 2025;12:e65656 View
  5. Mikołajewska E, Masiak J. Deep Learning Approaches to Natural Language Processing for Digital Twins of Patients in Psychiatry and Neurological Rehabilitation. Electronics 2025;14(10):2024 View
  6. Marceau M, Dulgarian S, Cambre J, Garabedian P, Amato M, Seger D, Volk L, Jackson G, Bates D, Rozenblum R, Syrowatka A. Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study. JMIR Medical Informatics 2025;13:e60191 View
  7. Sharma H, Kaur S. Patient-Specific Digital Twins for Personalized Healthcare: A Hybrid AI and Simulation-Based Framework. IEEE Access 2025;13:143277 View