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

Design and Usability of Clinical Software and EHRs (268) Clinical Information and Decision Making (1407) Adoption and Change Management of eHealth Systems (712) Decision Support for Health Professionals (1185) Safety and Error Prevention in Health (202)

Published on in Vol 6, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10245, first published .
Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study

Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study

Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study

Authors of this article:

Sundas Khan1 Author Orcid Image ;   Safiya Richardson1 Author Orcid Image ;   Andrew Liu2 Author Orcid Image ;   Vinodh Mechery1 Author Orcid Image ;   Lauren McCullagh1 Author Orcid Image ;   Andy Schachter3 Author Orcid Image ;   Salvatore Pardo4 Author Orcid Image ;   Thomas McGinn1 Author Orcid Image
Article Authors Cited by (20) Tweetations Metrics

Journals

  1. Richardson S, Cohen S, Khan S, Zhang M, Qiu G, Oppenheim M, McGinn T. Higher Imaging Yield When Clinical Decision Support Is Used. Journal of the American College of Radiology 2020;17(4):496 View
  2. Sepehrvand N, Youngson E, Bakal J, McAlister F, Rowe B, Ezekowitz J. External Validation and Refinement of Emergency Heart Failure Mortality Risk Grade Risk Model in Patients With Heart Failure in the Emergency Department. CJC Open 2019;1(3):123 View
  3. Jankovic I, Chen J. Clinical Decision Support and Implications for the Clinician Burnout Crisis. Yearbook of Medical Informatics 2020;29(01):145 View
  4. Todd B, Shinthia N, Nierenberg L, Mansour L, Miller M, Otero R. Impact of Electronic Medical Record Alerts on Emergency Physician Workflow and Medical Management. The Journal of Emergency Medicine 2021;60(3):390 View
  5. Petersen C, Smith J, Freimuth R, Goodman K, Jackson G, Kannry J, Liu H, Madhavan S, Sittig D, Wright A. Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. Journal of the American Medical Informatics Association 2021;28(4):677 View
  6. Kapoor N, Lacson R, Khorasani R. Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools. Journal of the American College of Radiology 2020;17(11):1363 View
  7. Richardson S, Dauber-Decker K, McGinn T, Barnaby D, Cattamanchi A, Pekmezaris R. Barriers to the Use of Clinical Decision Support for the Evaluation of Pulmonary Embolism: Qualitative Interview Study. JMIR Human Factors 2021;8(3):e25046 View
  8. Salwei M, Hoonakker P, Carayon P, Wiegmann D, Pulia M, Patterson B. Usability of a Human Factors-based Clinical Decision Support in the Emergency Department: Lessons Learned for Design and Implementation. Human Factors: The Journal of the Human Factors and Ergonomics Society 2024;66(3):647 View
  9. Richardson S, Dauber-Decker K, Solomon J, Khan S, Barnaby D, Chelico J, Qiu M, Liu Y, Mann D, Pekmezaris R, McGinn T, Diefenbach M. Nudging Health Care Providers’ Adoption of Clinical Decision Support: Protocol for the User-Centered Development of a Behavioral Economics–Inspired Electronic Health Record Tool. JMIR Research Protocols 2023;12:e42653 View
  10. Henry K, Kornfield R, Sridharan A, Linton R, Groh C, Wang T, Wu A, Mutlu B, Saria S. Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system. npj Digital Medicine 2022;5(1) View
  11. 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
  12. Balestra M, Chen J, Iturrate E, Aphinyanaphongs Y, Nov O. Predicting inpatient pharmacy order interventions using provider action data. JAMIA Open 2021;4(3) View
  13. Kandaswamy S, Karavite D, Muthu N, Agoff A, Grundmeier R, Tobias M, Zeidlhack M, Orenstein E. Interface Design for Evaluation of Clinical Decision Support for Quality Improvement. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):2285 View
  14. Salwei M, Carayon P. A Sociotechnical Systems Framework for the Application of Artificial Intelligence in Health Care Delivery. Journal of Cognitive Engineering and Decision Making 2022;16(4):194 View
  15. Henry K, Adams R, Parent C, Soleimani H, Sridharan A, Johnson L, Hager D, Cosgrove S, Markowski A, Klein E, Chen E, Saheed M, Henley M, Miranda S, Houston K, Linton R, Ahluwalia A, Wu A, Saria S. Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing. Nature Medicine 2022;28(7):1447 View
  16. 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
  17. Kuznetsova M, Kim A, Scully D, Wolski P, Syrowatka A, Bates D, Dykes P. Implementation of a Continuous Patient Monitoring System in the Hospital Setting: A Qualitative Study. The Joint Commission Journal on Quality and Patient Safety 2024;50(4):235 View
  18. Pagallo U, O’Sullivan S, Nevejans N, Holzinger A, Friebe M, Jeanquartier F, Jean-Quartier C, Miernik A. The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations. Health and Technology 2024;14(1):1 View
  19. Kandaswamy S, Karavite D, Muthu N, Shaeffer G, Grundmeier R, Tobias M, Zeidlhack M, Orenstein E. User and Task Analysis for Evaluation of Clinical Decision Support for Quality Improvement. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020;64(1):750 View
  20. Latifi N, Johnson T, Knight A, Prichett L, Modanloo B, Dungarani T, Zakaria S, Pahwa A. Optimizing Decision Support Alerts to Reduce Telemetry Duration: A Multicenter Evaluation. Applied Clinical Informatics 2024;15(05):860 View