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

Safety and Error Prevention in Health (206) Human Factors and Usability Case Studies (809) Electronic Health Records (1068) Design and Usability of Clinical Software and EHRs (271)

Published on in Vol 5, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9371, first published .
Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis

Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis

Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis

Authors of this article:

Neda Ratanawongsa1, 2 Author Orcid Image ;   George Y Matta1, 2 Author Orcid Image ;   Fuad B Bohsali3 Author Orcid Image ;   Margaret S Chisolm4 Author Orcid Image
Article Authors Cited by (19) Tweetations (23) Metrics

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  2. Hribar M, Huang A, Goldstein I, Reznick L, Kuo A, Loh A, Karr D, Wilson L, Chiang M. Data-Driven Scheduling for Improving Patient Efficiency in Ophthalmology Clinics. Ophthalmology 2019;126(3):347 View
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  5. Matta G, Khoong E, Lyles C, Schillinger D, Ratanawongsa N. Finding Meaning in Medication Reconciliation Using Electronic Health Records: Qualitative Analysis in Safety Net Primary and Specialty Care. JMIR Medical Informatics 2018;6(2):e10167 View
  6. Zhao J, Kessler E, Guo W. Interprofessional Communication Goes Up When the Electronic Health Record Goes Down. Journal of Surgical Education 2019;76(2):512 View
  7. Khoong E, Cherian R, Matta G, Lyles C, Schillinger D, Ratanawongsa N. Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis. Journal of Medical Internet Research 2019;21(5):e13131 View
  8. Rashid A. Yonder: Near misses, cancer communities, binge-eating disorder, and food banks. British Journal of General Practice 2019;69(678):30 View
  9. Farokhzadian J, Khajouei R, Hasman A, Ahmadian L. Nurses’ experiences and viewpoints about the benefits of adopting information technology in health care: a qualitative study in Iran. BMC Medical Informatics and Decision Making 2020;20(1) View
  10. Kannampallil T, Abraham J, Lou S, Payne P. Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects. Journal of the American Medical Informatics Association 2021;28(5):1032 View
  11. Ndabu T, Mulgund P, Sharman R, Singh R. Perceptual Gaps Between Clinicians and Technologists on Health Information Technology-Related Errors in Hospitals: Observational Study. JMIR Human Factors 2021;8(1):e21884 View
  12. Lou S, Liu H, Warner B, Harford D, Lu C, Kannampallil T. Predicting physician burnout using clinical activity logs: Model performance and lessons learned. Journal of Biomedical Informatics 2022;127:104015 View
  13. Chen Y, Adler-Milstein J, Sinsky C. Measuring and Maximizing Undivided Attention in the Context of Electronic Health Records. Applied Clinical Informatics 2022;13(04):774 View
  14. Kannampallil T, Adler-Milstein J. Using electronic health record audit log data for research: insights from early efforts. Journal of the American Medical Informatics Association 2022;30(1):167 View
  15. Mohammed G, Chandran P, Mansoor Z, Mohaddis M. Locked the Car, Why Not the Computer: A Qualitative and Quantitative Study on Data Safety Compliance. Cureus 2021 View
  16. McBride S, Alexander G, Baernholdt M, Vugrin M, Epstein B. Scoping review: Positive and negative impact of technology on clinicians. Nursing Outlook 2023;71(2):101918 View
  17. Kim S, Warner B, Lew D, Lou S, Kannampallil T. Measuring cognitive effort using tabular transformer-based language models of electronic health record-based audit log action sequences. Journal of the American Medical Informatics Association 2024;31(10):2228 View
  18. Brickson C, Keniston A, Knees M, Burden M. Characterizing electronic messaging use among hospitalists and its association with patient volumes. Journal of Hospital Medicine 2024;19(12):1131 View
  19. Butruille J, Cirnat N, Alaoui M, Saracco J, Cousein E, Chaniaud N. Pharmaceutical analysis of inpatient prescriptions: systematic observations of hospital pharmacists' practices in the early user-centered design phase (Preprint). JMIR Human Factors 2024 View