Published on in Vol 27 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62763, first published .
Understanding “Alert Fatigue” in Primary Care: Qualitative Systematic Review of General Practitioners Attitudes and Experiences of Clinical Alerts, Prompts, and Reminders

Understanding “Alert Fatigue” in Primary Care: Qualitative Systematic Review of General Practitioners Attitudes and Experiences of Clinical Alerts, Prompts, and Reminders

Understanding “Alert Fatigue” in Primary Care: Qualitative Systematic Review of General Practitioners Attitudes and Experiences of Clinical Alerts, Prompts, and Reminders

Journals

  1. Hernández-Vidal N, Pujol-Vidal M, Mengíbar-García Y, Ayala-Villuendas D, Contel-Segura J, Martínez-Torres S, Bordas A, Oriol-Colominas E, Martín-Vergara N, Martín-Lujan F, Astier-Peña M, Gens-Barberà M. Design, Implementation, and Evaluation of Healthcare Visual Map Tool for Health Workers to Improve Quality of Life of Home Care Patients: Study Protocol. Healthcare 2025;13(6):626 View
  2. Litchfield I, Lewis R, Delanerolle G, Melyda M, Harper L. Factors Influencing the Implementation of a Multispecialty Virtual Ward Program in the United Kingdom: Qualitative Exploration of Staff Experiences and Perspectives. Journal of Medical Internet Research 2025;27:e75406 View
  3. Kandaswamy S, Muthu N, Braykov N, Carter R, Blanco R, Bui T, Orenstein E, Mai M. Human performance evaluation of a pediatric artificial intelligence sepsis model. Journal of the American Medical Informatics Association 2025;32(10):1552 View
  4. Mache S, Bernburg M, Würtenberger A, Groneberg D. Artificial Intelligence in Primary Care: Support or Additional Burden on Physicians’ Healthcare Work?—A Qualitative Study. Clinics and Practice 2025;15(8):138 View
  5. Gurumurthy G, Kisiel F, Reynolds L, Thomas W, Othman M, Arachchillage D, Thachil J. Machine Learning in Venous Thromboembolism – Why and What Next?. Seminars in Thrombosis and Hemostasis 2025 View
  6. Bain A, Ngai D, Bernard P. Clinical Decision Support Systems in Generalist Practice. Medical Clinics of North America 2025 View
  7. Blake J, Butterfield R, Hopper T, Sims N. Secondary Infusion Underdelivery: Risks and Rewards of Common Workarounds. AACN Advanced Critical Care 2025;36(3):240 View
  8. Silberlust J, Small W, Shah D, Chakravartty E, Moawad K, Moawad A, Testa P, Feldman J. Disappearing Text as a Clinical Decision Support Layer: A Case Series. Applied Clinical Informatics 2025;16(04):1114 View
  9. Massmann A, Petry N, Weaver M, Brady H, Lupu R. Analyzing the impact of pharmacogenomics-guided nonsteroidal anti-inflammatory drug alerts in clinical practice. JAMIA Open 2025;8(5) View
  10. Newton N, Bamgboje-Ayodele A, Forsyth R, Tariq A, Huang J, Yannam R, Lalor D, Sobey A, Baysari M. What is alert fatigue and what contributes to doctors’ experiences of it? A qualitative study (Preprint). Journal of Medical Internet Research 2025 View
  11. Montosa-i-Micó V, Tortajada C, Batet Á, Castillo R, Camacho M, Perez D, García D, García-Gómez J. High effectiveness of the digitalization of the GESIDA clinical guideline for HIV patient management. BMC Health Services Research 2025;25(1) View