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

Journals

1. Toll E, Alkureishi M, Lee W, Babbott S, Bain P, Beasley J, Frankel R, Loveys A, Wald H, Woods S, Hersh W. Protecting healing relationships in the age of electronic health records: report from an international conference. JAMIA Open 2019;2(3):282 View
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
3. Arcega J, Autman I, De Guzman B, Isidienu L, Olivar J, O'Neal M, Surdilla B. The Human Touch. Critical Care Nursing Quarterly 2020;43(3):294 View
4. Bauer M, Monteith S, Geddes J, Gitlin M, Grof P, Whybrow P, Glenn T. Automation to optimise physician treatment of individual patients: examples in psychiatry. The Lancet Psychiatry 2019;6(4):338 View
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 View