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

Electronic Health Records (961) Simulation (95)

Published on in Vol 5, No 3 (2017): Jul-Sept

Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study

Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study

Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study

Authors of this article:

Robert Pranaat1 Author Orcid Image ;   Vishnu Mohan1 Author Orcid Image ;   Megan O'Reilly2 Author Orcid Image ;   Maxwell Hirsh3 Author Orcid Image ;   Karess McGrath4 Author Orcid Image ;   Gretchen Scholl3 Author Orcid Image ;   Deborah Woodcock1 Author Orcid Image ;   Jeffrey A Gold4 Author Orcid Image
Article Authors Cited by (15) Tweetations (6) Metrics

Journals

  1. DeWitt D, Harrison L. The Potential Impact of Scribes on Medical School Applicants and Medical Students with the New Clinical Documentation Guidelines. Journal of General Internal Medicine 2018;33(11):2002 View
  2. Harrington L. Quality of Electronic Health Record Data on Which We Stand. AACN Advanced Critical Care 2019;30(2):105 View
  3. Tran B, Chen Y, Liu S, Zheng K. How does medical scribes’ work inform development of speech-based clinical documentation technologies? A systematic review. Journal of the American Medical Informatics Association 2020;27(5):808 View
  4. Musunuru K, Arora P, Cooke J, Ferguson J, Hershberger R, Hickey K, Lee J, Lima J, Loscalzo J, Pereira N, Russell M, Shah S, Sheikh F, Wang T, MacRae C. Interdisciplinary Models for Research and Clinical Endeavors in Genomic Medicine: A Scientific Statement From the American Heart Association. Circulation: Genomic and Precision Medicine 2018;11(6) View
  5. Haque A, Milstein A, Fei-Fei L. Illuminating the dark spaces of healthcare with ambient intelligence. Nature 2020;585(7824):193 View
  6. Bossen C, Chen Y, Pine K. The emergence of new data work occupations in healthcare: The case of medical scribes. International Journal of Medical Informatics 2019;123:76 View
  7. Gold J, Becton J, Ash J, Corby S, Mohan V. Do You Know What Your Scribe Did Last Spring? The Impact of COVID-19 on Medical Scribe Workflow. Applied Clinical Informatics 2020;11(05):807 View
  8. Ash J, Corby S, Mohan V, Solberg N, Becton J, Bergstrom R, Orwoll B, Hoekstra C, Gold J. Safe use of the EHR by medical scribes: a qualitative study. Journal of the American Medical Informatics Association 2021;28(2):294 View
  9. Elliott M, Padua M, Schwenk T. Electronic Health Records, Medical Practice Problems, and Physician Distress. International Journal of Behavioral Medicine 2022;29(3):387 View
  10. Corby S, Ash J, Florig S, Mohan V, Becton J, Solberg N, Bergstrom R, Orwoll B, Hoekstra C, Gold J. How Providers Can Optimize Effective and Safe Scribe Use: a Qualitative Study. Journal of General Internal Medicine 2023;38(9):2052 View
  11. Nuamah J, Adapa K, Mazur L. State of the evidence on simulation-based electronic health records training: A scoping review. Health Informatics Journal 2022;28(3):146045822211134 View
  12. Goldman A, Kathrins M. Optimized Use of the Electronic Health Record and Other Clinical Resources to Enhance the Management of Hypogonadal Men. Endocrinology and Metabolism Clinics of North America 2022;51(1):217 View
  13. Lam M, Sabharwal S. The Role of Scribes in Orthopaedics. JBJS Reviews 2023;11(3) View
  14. Kernberg A, Gold J, Mohan V. Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study. Journal of Medical Internet Research 2024;26:e54419 View

Books/Policy Documents

  1. Vourganas I, Attar H, Michala A. Intelligent Healthcare. View