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

Design and Usability of Clinical Software and EHRs (242) Usability Evaluation Case Studies (182) Electronic Health Records (971)

Published on in Vol 3, No 1 (2016): Jan-Jun

Evaluating the Usability and Perceived Impact of an Electronic Medical Record Toolkit for Atrial Fibrillation Management in Primary Care: A Mixed-Methods Study Incorporating Human Factors Design

Evaluating the Usability and Perceived Impact of an Electronic Medical Record Toolkit for Atrial Fibrillation Management in Primary Care: A Mixed-Methods Study Incorporating Human Factors Design

Evaluating the Usability and Perceived Impact of an Electronic Medical Record Toolkit for Atrial Fibrillation Management in Primary Care: A Mixed-Methods Study Incorporating Human Factors Design

Authors of this article:

Kim Tran1 Author Orcid Image ;   Kori Leblanc1, 2, 3 Author Orcid Image ;   Alissia Valentinis4 Author Orcid Image ;   Doug Kavanagh5 Author Orcid Image ;   Nina Zahr1 Author Orcid Image ;   Noah M Ivers6 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Orchard J, Neubeck L, Freedman B, Li J, Webster R, Zwar N, Gallagher R, Ferguson C, Lowres N. eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study. Journal of the American Heart Association 2019;8(1) View
  2. Mangin D, Lawson J, Adamczyk K, Guenter D. Embedding “Smart” Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm Trial. JMIR Medical Informatics 2020;8(7):e16764 View
  3. Kersting C, Weltermann B. Evaluating the Feasibility of a Software Prototype Supporting the Management of Multimorbid Seniors: Mixed Methods Study in General Practices. JMIR Human Factors 2019;6(3):e12695 View
  4. Hirschey J, Bane S, Mansour M, Sperber J, Agboola S, Kvedar J, Jethwani K. Evaluating the Usability and Usefulness of a Mobile App for Atrial Fibrillation Using Qualitative Methods: Exploratory Pilot Study. JMIR Human Factors 2018;5(1):e13 View
  5. Lee T, Ivers N, Bhatia S, Butt D, Dorian P, Jaakkimainen L, Leblanc K, Legge D, Morra D, Valentinis A, Wing L, Young J, Tu K. Improving stroke prevention therapy for patients with atrial fibrillation in primary care: protocol for a pragmatic, cluster-randomized trial. Implementation Science 2016;11(1) View
  6. Wang S, Chiou C, Su C, Wu C, Tsai S, Lin T, Hsu C. Measuring Mobile Phone Application Usability for Anticoagulation from the Perspective of Patients, Caregivers, and Healthcare Professionals. International Journal of Environmental Research and Public Health 2022;19(16):10136 View
  7. Mihas P, Rosman L, Armbruster T, Walker J, Deyo Z, Gehi A. Patient Perspectives on Performance of a Smartphone App for Atrial FibrillationSelf-Management. Patient Preference and Adherence 2022;Volume 16:2799 View
  8. 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
  9. Busse T, Jux C, Laser J, Rasche P, Vollmar H, Ehlers J, Kernebeck S. Involving Health Care Professionals in the Development of Electronic Health Records: Scoping Review. JMIR Human Factors 2023;10:e45598 View