Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23355, first published .
Habit and Automaticity in Medical Alert Override: Cohort Study

Habit and Automaticity in Medical Alert Override: Cohort Study

Habit and Automaticity in Medical Alert Override: Cohort Study

Journals

  1. Ho V, Aikens R, Tso G, Heidenreich P, Sharp C, Asch S, Chen J, Shah N. Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial. Journal of the American Medical Informatics Association 2022;29(11):1941 View
  2. Wang S, Hogg H, Sangvai D, Patel M, Weissler E, Kellogg K, Ratliff W, Balu S, Sendak M. Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study. JMIR Formative Research 2023;7:e43963 View
  3. Ng H, Kansal A, Abdul Naseer J, Hing W, Goh C, Poh H, D’souza J, Lim E, Tan G. Optimizing Best Practice Advisory alerts in electronic medical records with a multi-pronged strategy at a tertiary care hospital in Singapore. JAMIA Open 2023;6(3) View
  4. Henry K, Giannini H. Early Warning Systems for Critical Illness Outside the Intensive Care Unit. Critical Care Clinics 2024;40(3):561 View
  5. Takizawa M, Nakayama N, Ohishi Y, Tanaka K, Noguchi R, Saito Y, Hirano K, Komatsu Y. Physicians’ Perspectives on Prescription Alerts: A Journey Towards Reducing Fatigue. Cureus 2025 View
  6. 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
  7. Lingam V, Hyun Lee J, Perkins R. Designing for Usability. Medical Clinics of North America 2025 View