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

Clinical Informatics (912) Alarm Fatigue (18) Design and Usability of Clinical Software and EHRs (242)

Published on in Vol 22, No 3 (2020): March

A Late Attempt to Involve End Users in the Design of Medication-Related Alerts: Survey Study

A Late Attempt to Involve End Users in the Design of Medication-Related Alerts: Survey Study

A Late Attempt to Involve End Users in the Design of Medication-Related Alerts: Survey Study

Authors of this article:

Melissa Therese Baysari1, 2 Author Orcid Image ;   Wu Yi Zheng1, 2 Author Orcid Image ;   Bethany Van Dort1, 2 Author Orcid Image ;   Hannah Reid-Anderson3 Author Orcid Image ;   Mihaela Gronski3 Author Orcid Image ;   Eliza Kenny3 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  2. Tacker D, Adelanwa A, Pearson N, Marshalek P, Berry J. Fentanyl Quality Assurance Project Prompted Change in Clinical Workflow and Test Configurations. The Journal of Applied Laboratory Medicine 2021;6(1):93 View
  3. Van Dort B, Zheng W, Sundar V, Baysari M. Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals. Journal of the American Medical Informatics Association 2021;28(1):177 View
  4. Bakhoum N, Gerhart C, Schremp E, Jeffrey A, Anders S, France D, Ward M. A Time and Motion Analysis of Nursing Workload and Electronic Health Record Use in the Emergency Department. Journal of Emergency Nursing 2021;47(5):733 View
  5. Westerbeek L, Ploegmakers K, de Bruijn G, Linn A, van Weert J, Daams J, van der Velde N, van Weert H, Abu-Hanna A, Medlock S. Barriers and facilitators influencing medication-related CDSS acceptance according to clinicians: A systematic review. International Journal of Medical Informatics 2021;152:104506 View
  6. Baysari M, Dort B, Zheng W, Li L, Hilmer S, Westbrook J, Day R. Prescribers’ reported acceptance and use of drug-drug interaction alerts: An Australian survey. Health Informatics Journal 2022;28(2):146045822211006 View
  7. Calvo-Cidoncha E, Camacho-Hernando C, Feu F, Pastor-Duran X, Codina-Jané C, Lozano-Rubí R. OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors. BMC Medical Informatics and Decision Making 2022;22(1) View
  8. Janssen A, Kay J, Talic S, Pusic M, Birnbaum R, Cavalcanti R, Gasevic D, Shaw T. Electronic Health Records That Support Health Professional Reflective Practice: a Missed Opportunity in Digital Health. Journal of Healthcare Informatics Research 2022;6(4):375 View
  9. Calvo-Cidoncha E, Verdinelli J, González-Bueno J, López-Soto A, Camacho Hernando C, Pastor-Duran X, Codina-Jané C, Lozano-Rubí R. An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study. JMIR Medical Informatics 2023;11:e45850 View
  10. Dahmke H, Fiumefreddo R, Schuetz P, De Iaco R, Zaugg C. Tackling alert fatigue with a semi-automated clinical decision support system: quantitative evaluation and end-user survey. Swiss Medical Weekly 2023;153(7):40082 View
  11. 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
  12. Jin L, Fang H, Shen J, He Z, Li Y, Dong L, Feng J, Asakawa T. Evaluation of appropriateness of alerts overrides and physicians' responses of the medication-related clinical decision support system in China, a hospital-based study. Drug Discoveries & Therapeutics 2024;18(2):89 View