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Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36151, first published .
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Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study

Journals

  1. Alam S, Gonzalez Suarez M. Transforming Healthcare: The AI Revolution in the Comprehensive Care of Hypertension. Clinics and Practice 2024;14(4):1357 View
  2. Clay B, Bergman H, Salim S, Pergola G, Shalhoub J, Davies A. Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies. Computers in Biology and Medicine 2025;188:109808 View
  3. Guo Y, Hu D, Zhou Y, Lyu T, Yang Z, Reynolds T, Zheng K. A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions. npj Health Systems 2026;3(1) View
  4. Al-Sayed A, Khalifa O. Predictive Analytics Model for Forecasting Digital Patient Portal Message Volume Using Disease Seasonality, Appointment Density, Medication Changes, Prior Communication Behavior, and Clinic Workload Trends. Journal of Health Informatics and Digital Systems 2026;6(1) View
  5. Hugo V, Cruz D, Salazar J. Large Language Model Agent for Drafting Structured Responses to Non-Urgent Patient Portal Messages Using Local Clinical Protocols, Physician-Approved Templates, Patient History, and Message Intent Classification. Journal of Health Informatics and Digital Systems 2026;6(1) View