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

Decision Support for Health Professionals (1127) Clinical Information and Decision Making (1314) Alarm Fatigue (18) Safety and Error Prevention in Health (186) Computerized Provider Order Entry (CPOE) (20)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23351, first published .
Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study

Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study

Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study

Authors of this article:

Junsang Yoo1 Author Orcid Image ;   Jeonghoon Lee2 Author Orcid Image ;   Poong-Lyul Rhee3 Author Orcid Image ;   Dong Kyung Chang2, 3, 4 Author Orcid Image ;   Mira Kang2, 4, 5 Author Orcid Image ;   Jong Soo Choi4 Author Orcid Image ;   David W Bates6 Author Orcid Image ;   Won Chul Cha2, 4, 7 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

Journals

  1. Cha W, Jung W, Yu J, Yoo J, Choi J. Temporal Change in Alert Override Rate with a Minimally Interruptive Clinical Decision Support on a Next-Generation Electronic Medical Record. Medicina 2020;56(12):662 View
  2. Ali S, Jung S, Bilal H, Lee S, Hussain J, Afzal M, Hussain M, Ali T, Chung T, Lee S. Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment. International Journal of Environmental Research and Public Health 2021;19(1):226 View
  3. Rubins D, McCoy A, Dutta S, McEvoy D, Patterson L, Miller A, Jackson J, Zuccotti G, Wright A. Real-Time User Feedback to Support Clinical Decision Support System Improvement. Applied Clinical Informatics 2022;13(05):1024 View
  4. Lenoir K, Sandberg J, Miller D, Wells B. Patient Perspectives on a Targeted Text Messaging Campaign to Encourage Screening for Diabetes: Qualitative Study. JMIR Formative Research 2023;7:e41011 View
  5. Rice H, Garabedian P, Shear K, Bjarnadottir R, Burns Z, Latham N, Schentrup D, Lucero R, Dykes P. Clinical Decision Support for Fall Prevention: Defining End-User Needs. Applied Clinical Informatics 2022;13(03):647 View
  6. Bittmann J, Haefeli W, Seidling H. Modulators Influencing Medication Alert Acceptance: An Explorative Review. Applied Clinical Informatics 2022;13(02):468 View
  7. Kim S, Kim E, Kim H. Physician Knowledge Base: Clinical Decision Support Systems. Yonsei Medical Journal 2022;63(1):8 View
  8. Yoo J, Hur S, Hwang W, Cha W. Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study. Healthcare Informatics Research 2023;29(1):64 View
  9. Piazza G, Hurwitz S, Campia U, Bikdeli B, Lou J, Khairani C, Bejjani A, Snyder J, Pfeferman M, Barns B, Rizzo S, Glezer A, Goldhaber S. Electronic alerts for ambulatory patients with atrial fibrillation not prescribed anticoagulation: A randomized, controlled trial (AF-ALERT2). Thrombosis Research 2023;227:1 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. DeCamp M, Lindvall C. Mitigating bias in AI at the point of care. Science 2023;381(6654):150 View
  12. Han N, Oh O, Oh J, Kim Y, Lee Y, Cha W, Yu Y. The Application of Knowledge-Based Clinical Decision Support Systems to Detect Antibiotic Allergy. Antibiotics 2024;13(3):244 View