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

Design and Usability of Clinical Software and EHRs (271) Clinical Information and Decision Making (1434) Quality Improvement (260) Human Factors and Usability Case Studies (809) Decision Support for Health Professionals (1210) Machine Learning (1501) Artificial Intelligence (1421) Natural Language Processing (706)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43960, first published .
Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson

Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson

Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson

Authors of this article:

Angela Rui1 Author Orcid Image ;   Pamela M Garabedian2 Author Orcid Image ;   Marlika Marceau2 Author Orcid Image ;   Ania Syrowatka1, 3 Author Orcid Image ;   Lynn A Volk2 Author Orcid Image ;   Heba H Edrees1, 3, 4 Author Orcid Image ;   Diane L Seger2 Author Orcid Image ;   Mary G Amato1, 4 Author Orcid Image ;   Jacob Cambre1 Author Orcid Image ;   Sevan Dulgarian1 Author Orcid Image ;   Lisa P Newmark2 Author Orcid Image ;   Karen C Nanji2, 3, 5 Author Orcid Image ;   Petra Schultz6 Author Orcid Image ;   Gretchen Purcell Jackson7, 8 Author Orcid Image ;   Ronen Rozenblum1, 3 Author Orcid Image ;   David W Bates1, 2, 3, 9 Author Orcid Image
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  1. Wu H, Chen Z, Gu J, Jiang Y, Gao S, Chen W, Miao C. Predicting Chronic Pain and Treatment Outcomes Using Machine Learning Models Based on High-dimensional Clinical Data From a Large Retrospective Cohort. Clinical Therapeutics 2024;46(6):490 View

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  1. Cano I, Arismendi E, Borrat X. Digital Respiratory Healthcare. View