Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12469, first published .
Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study

Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study

Interruptive Versus Noninterruptive Clinical Decision Support: Usability Study

Journals

  1. Sakib N, Ahamed S, Khan R, Griffin P, Haque M. Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology. JMIR Medical Informatics 2020;8(12):e18352 View
  2. Jankovic I, Chen J. Clinical Decision Support and Implications for the Clinician Burnout Crisis. Yearbook of Medical Informatics 2020;29(01):145 View
  3. Ramirez M, Chen K, Follett R, Mangione C, Moreno G, Bell D. Impact of a “Chart Closure” Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study. JMIR Medical Informatics 2020;8(4):e16421 View
  4. Schaaf J, Sedlmayr M, Sedlmayr B, Prokosch H, Storf H. Evaluation of a clinical decision support system for rare diseases: a qualitative study. BMC Medical Informatics and Decision Making 2021;21(1) View
  5. Poly T, Islam M, Muhtar M, Yang H, Nguyen P, Li Y. Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation. JMIR Medical Informatics 2020;8(11):e19489 View
  6. Olakotan O, Mohd Yusof M. The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review. Health Informatics Journal 2021;27(2):146045822110075 View
  7. Trinkley K, Kroehl M, Kahn M, Allen L, Bennett T, Hale G, Haugen H, Heckman S, Kao D, Kim J, Matlock D, Malone D, Page 2nd R, Stine J, Suresh K, Wells L, Lin C. Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial. JMIR Medical Informatics 2021;9(3):e24359 View
  8. Tomašev N, Harris N, Baur S, Mottram A, Glorot X, Rae J, Zielinski M, Askham H, Saraiva A, Magliulo V, Meyer C, Ravuri S, Protsyuk I, Connell A, Hughes C, Karthikesalingam A, Cornebise J, Montgomery H, Rees G, Laing C, Baker C, Osborne T, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Seneviratne M, Ledsam J, Mohamed S. Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records. Nature Protocols 2021;16(6):2765 View
  9. Ramaswamy P, Shah A, Kothari R, Schloemerkemper N, Methangkool E, Aleck A, Shapiro A, Dayal R, Young C, Spinner J, Deibler C, Wang K, Robinowitz D, Gandhi S. An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study. JMIR Perioperative Medicine 2022;5(1):e40831 View
  10. Jennings L, Ward R, Pekar E, Szwast E, Sox L, Hying J, Mccauley J, Obeid J, Lenert L. The effectiveness of a noninterruptive alert to increase prescription of take-home naloxone in emergency departments. Journal of the American Medical Informatics Association 2023 View
  11. Jones E, Banks A, Melton G, Porta C, Tignanelli C. Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System–Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses. JMIR Human Factors 2022;9(1):e29019 View
  12. Feldman J, Goodman A, Hochman K, Chakravartty E, Austrian J, Iturrate E, Bosworth B, Saxena A, Moussa M, Chenouda D, Volpicelli F, Adler N, Weisstuch J, Testa P. Novel Note Templates to Enhance Signal and Reduce Noise in Medical Documentation: Prospective Improvement Study. JMIR Formative Research 2023;7:e41223 View
  13. Spiegel M, Simpson A, Philip A, Bell C, Nadig N, Ford D, Goodwin A. Development and implementation of a clinical decision support-based initiative to drive intravenous fluid prescribing. International Journal of Medical Informatics 2021;156:104619 View
  14. Chan C, Carlson J, Lee T, Vo M, Nasr A, Hart-Cooper G. Usability and Utility of Human Immunodeficiency Virus Pre-exposure Prophylaxis Clinical Decision Support to Increase Knowledge and Pre-exposure Prophylaxis Initiations among Pediatric Providers. Applied Clinical Informatics 2022;13(05):1141 View
  15. Maten N, Kroehl M, Loeb D, Bhat S, Ota T, Billups S, Schilling L, Heckman S, Reingardt C, Trinkley K. An evaluation of clinical decision support tools for Patient Health Questionnaire-9 administration. Mental Health Clinician 2021;11(5):267 View
  16. 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
  17. Belli H, Troxel A, Blecker S, Anderman J, Wong C, Martinez T, Mann D. A Behavioral Economics–Electronic Health Record Module to Promote Appropriate Diabetes Management in Older Adults: Protocol for a Pragmatic Cluster Randomized Controlled Trial. JMIR Research Protocols 2021;10(10):e28723 View
  18. Jones E, Hultman G, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton G, Marquard J, Tignanelli C. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support Systems Improves User-Centered Design. Surgery 2022;172(5):1537 View
  19. Kinlay M, Ho L, Zheng W, Burke R, Juraskova I, Moles R, Baysari M. Electronic Medication Management Systems: Analysis of Enhancements to Reduce Errors and Improve Workflow. Applied Clinical Informatics 2021;12(05):1049 View
  20. Steinkamp J, Sharma A, Bala W, Kantrowitz J. A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study. JMIR Formative Research 2021;5(11):e23789 View
  21. Geva A, Albert B, Hamilton S, Manning M, Barrett M, Mirchandani D, Harty M, Morgan E, Kleinman M, Mehta N. eSIMPLER: A Dynamic, Electronic Health Record–Integrated Checklist for Clinical Decision Support During PICU Daily Rounds. Pediatric Critical Care Medicine 2021;22(10):898 View
  22. Morse B, Anstett T, Mistry N, Porter S, Pincus S, Lin C, Novins-Montague S, Ho P. User-Centered Design to Reduce Inappropriate Blood Transfusion Orders. Applied Clinical Informatics 2023;14(01):28 View
  23. 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
  24. Cánovas-Segura B, Morales A, Juarez J, Campos M. Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework. Journal of Biomedical Informatics 2023;143:104397 View
  25. Sangillo E, Jube-Desai N, El-Metwally D, Hughes Driscoll C. Impact of a Clinical Decision Support Alert on Informed Consent Documentation in the Neonatal Intensive Care Unit. Pediatric Quality & Safety 2024;9(1):e713 View