Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40064, first published .
Patient Experience and Feedback After Using an Electronic Health Record–Integrated COVID-19 Symptom Checker: Survey Study

Patient Experience and Feedback After Using an Electronic Health Record–Integrated COVID-19 Symptom Checker: Survey Study

Patient Experience and Feedback After Using an Electronic Health Record–Integrated COVID-19 Symptom Checker: Survey Study

Journals

  1. Riboli-Sasco E, El-Osta A, Alaa A, Webber I, Karki M, El Asmar M, Purohit K, Painter A, Hayhoe B. Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review. Journal of Medical Internet Research 2023;25:e43803 View
  2. Jaszczak J, Gellert G, Gellert G, Suwińska A. An analysis of virtual triage utilization by pregnant women prior to and during the COVID-19 pandemic. Frontiers in Global Women's Health 2024;5 View
  3. Pack A, O’Conor R, Vasiloff R, Liebovitz D, Masters M, Alcantara K, Smith R, Wismer G, Tatz R, Yeh F, Curtis L, Hur S, Bailey S. An electronic health record-based strategy to increase PrEP decision-making among cisgender women in primary care: results of a randomized pilot study. BMC Health Services Research 2025;25(1) View
  4. Nourani A, Hosseini S, Rassoulian M, Joudivand L, Samimi T, Rahimi B. A systematic review of methods used for COVID-19 telehealth systems evaluation: lessons from past experiences for future use. BMC Health Services Research 2025;25(1) View

Books/Policy Documents

  1. Ben Khizzou N, Aarabe M, Bouizgar M, Alla L, Benjelloun A. Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment. View

Conference Proceedings

  1. Rajani G, Ruparel K. 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA). Deep Learning based Chatbot Architecture for Medical Diagnosis and Treatment Recommendation View