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

Design and Usability of Clinical Software and EHRs (348) Clinical Information and Decision Making (1915) Quality Improvement (294) Human Factors and Usability Case Studies (1005) Decision Support for Health Professionals (1539) Machine Learning (2076) Artificial Intelligence (2129) Natural Language Processing (917)

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
Article Authors Cited by (8) Tweetations (6) Metrics

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  2. 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
  3. Lindsay J, Earl M. Analyzing point of care tools through faculty, resident, and stakeholder buy-in: promise and pitfalls. Medical Reference Services Quarterly 2025:1 View
  4. Ryan L, Gluck S, Thomas J, Cohen M, Wislang K, Maddison J, Chur‐Hansen A, Laurence C. An exploration of after‐hours workloads of trainee medical officers in a South Australian tertiary hospital. Internal Medicine Journal 2025 View
  5. Hoff T, Kitsakos A, Silva J. Satisfaction with Artificial Intelligence Among Patients and Physicians: A Scoping Review. Journal of Healthcare Management 2025;70(6):435 View
  6. Alam A, Shah S, Rabbani S, El-Tanani M. The Role of Artificial Intelligence in Pharmacy Practice and Patient Care: Innovations and Implications. BioMedInformatics 2025;5(4):65 View
  7. Singh K, Prabhu A, Kaur N. The Impact and Role of Artificial Intelligence (AI) in Healthcare: Systematic Review. Current Topics in Medicinal Chemistry 2025;25(22):2635 View

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