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

Focus Groups and Qualitative Research for Human Factors Research (764) Decision Support for Health Professionals (1129) Clinical Informatics (904) Electronic Health Records (961) Design and Usability of Clinical Software and EHRs (242) Clinical Information and Decision Making (1315) Adoption and Change Management of eHealth Systems (670)

Published on in Vol 8, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25046, first published .
Barriers to the Use of Clinical Decision Support for the Evaluation of Pulmonary Embolism: Qualitative Interview Study

Barriers to the Use of Clinical Decision Support for the Evaluation of Pulmonary Embolism: Qualitative Interview Study

Barriers to the Use of Clinical Decision Support for the Evaluation of Pulmonary Embolism: Qualitative Interview Study

Authors of this article:

Safiya Richardson1 Author Orcid Image ;   Katherine L Dauber-Decker1 Author Orcid Image ;   Thomas McGinn1 Author Orcid Image ;   Douglas P Barnaby1 Author Orcid Image ;   Adithya Cattamanchi2 Author Orcid Image ;   Renee Pekmezaris1 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

Journals

  1. 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
  2. Sax D, Sturmer L, Mark D, Rana J, Reed M. Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department. Diagnostics 2022;12(10):2463 View
  3. Abdulla S, Swarup V, Soomro A, de Wit K. Mapping emergency physician reasoning for adhering to evidence‐based pulmonary embolism testing. Academic Emergency Medicine 2022;29(5):658 View
  4. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
  5. Wosny M, Strasser L, Hastings J. Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review. JMIR Human Factors 2023;10:e50357 View
  6. Solomon J, Dauber-Decker K, Richardson S, Levy S, Khan S, Coleman B, Persaud R, Chelico J, King D, Spyropoulos A, McGinn T. Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study. JMIR Formative Research 2023;7:e44065 View
  7. Casey S, Reed M, LeMaster C, Mark D, Gaskin J, Norris R, Sax D. Physicians’ Perceptions of Clinical Decision Support to Treat Patients With Heart Failure in the ED. JAMA Network Open 2023;6(11):e2344393 View
  8. Williams R, Brintz B, Ribeiro Dos Santos G, Huang A, Buddhari D, Kaewhiran S, Iamsirithaworn S, Rothman A, Thomas S, Farmer A, Fernandez S, Cummings D, Anderson K, Salje H, Leung D. Integration of population-level data sources into an individual-level clinical prediction model for dengue virus test positivity. Science Advances 2024;10(7) View
  9. Zaphir J, Murphy K, MacQuarrie A, Stainer M. Understanding The Role of Cognitive Load In Paramedical Contexts: A Systematic Review. Prehospital Emergency Care 2024:1 View