How Providers Can Optimize Effective and Safe Scribe Use: a Qualitative Study

Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165(11):753-60.

Article  PubMed  Google Scholar 

McDonald CJ, Callaghan FM, Weissman A, Goodwin RM, Mundkur M, Kuhn T. Use of internist’s free time by ambulatory care Electronic Medical Record systems. JAMA Intern Med. 2014;174(11):1860-3.

Article  PubMed  Google Scholar 

Arndt B, Beasley J, Temte J, Tuan W, Gilchrist V, editors. Work after work: evidence from pcp utilization of an EHR system. North American Primary Care Research Group Annual Meeting; 2015.

Yates SW. Physician stress and burnout. Am J Med. 2020;133(2):160-4.

Article  PubMed  Google Scholar 

Shanafelt TD, West CP, Sinsky C, et al. Changes in burnout and satisfaction with work-life integration in physicians and the general US working population between 2011 and 2017. Mayo Clin Proc. 2019;94(9):1681-94.

Article  PubMed  Google Scholar 

Arndt BG, Beasley JW, Watkinson MD, et al. Tethered to the EHR: primary care physician workload assessment using EHR event log data and time-motion observations. Ann Fam Med. 2017;15(5):419-26.

Article  PubMed  PubMed Central  Google Scholar 

Adler-Milstein J, Zhao W, Willard-Grace R, Knox M, Grumbach K. Electronic health records and burnout: time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians. J Am Med Inform Assoc. 2020;27(4):531-8.

Article  PubMed  PubMed Central  Google Scholar 

Kroth PJ, Morioka-Douglas N, Veres S et al. Association of electronic health record design and use factors with clinician stress and burnout. JAMA Netw Open 2019;2(8):e199609.

Article  PubMed  PubMed Central  Google Scholar 

Dall T, West T, Chakrabarti R, Reynolds R, Iacobucci W. The complexities of physician supply and demand: projections from 2016 to 2030. Washington (DC): Association of American Medical Colleges; 2018.

Google Scholar 

Jha AK, Iliff AR, Chaoui AA, Defossez S, Bombaugh MC, Miller YR. A crisis in health care: a call to action on physician burnout. Paper. Boston (MA): Harvard University, Harvard T.H. Chan School of Public Health and Harvard Global Health Institute; 2019.

Google Scholar 

Kuhn T, Basch P, Barr M, Yackel T, Medical informatics committee of the American College of P. Clinical documentation in the 21st century: executive summary of a policy position paper from the American College of Physicians. Ann Intern Med. 2015;162(4):301-3.

Article  PubMed  Google Scholar 

Lin S. The present and future of team documentation: the role of patients, families, and artificial intelligence. Mayo Clin Proc. 2020;95(5):852-5.

Article  PubMed  Google Scholar 

Menon SP. Maximizing time with the patient: the creative concept of a physician scribe. Curr Oncol Rep. 2015;17(12):59.

Article  PubMed  Google Scholar 

Bossen C, Chen Y, Pine KH. The emergence of new data work occupations in healthcare: the case of medical scribes. Int J Med Inform. 2019;123:76-83.

Article  PubMed  Google Scholar 

Yan C, Rose S, Rothberg MB, Mercer MB, Goodman K, Misra-Hebert AD. Physician, scribe, and patient perspectives on clinical scribes in primary care. J Gen Intern Med. 2016;31(9):990-5.

Article  PubMed  PubMed Central  Google Scholar 

Pozdnyakova A, Laiteerapong N, Volerman A, et al. Impact of medical scribes on physician and patient satisfaction in primary care. J Gen Intern Med. 2018;33(7):1109-15.

Article  PubMed  PubMed Central  Google Scholar 

Mishra P, Kiang JC, Grant RW. Association of medical scribes in primary care with physician workflow and patient experience. JAMA Intern Med. 2018;178(11):1467-72.

Article  PubMed  PubMed Central  Google Scholar 

Sattler A, Rydel T, Nguyen C, Lin S. One year of family physicians’ observations on working with medical scribes. J Am Board Fam Med. 2018;31(1):49-56.

Article  PubMed  Google Scholar 

Gidwani R, Nguyen C, Kofoed A, et al. Impact of scribes on physician satisfaction, patient satisfaction, and charting efficiency: a randomized controlled trial. Ann Fam Med. 2017;15(5):427-33.

Article  PubMed  PubMed Central  Google Scholar 

Bates DW, Landman AB. Use of medical scribes to reduce documentation burden: are they where we need to go with clinical documentation? JAMA Intern Med. 2018;178(11):1472-3.

Article  PubMed  Google Scholar 

Gellert GA, Ramirez R, Webster SL. The rise of the medical scribe industry: implications for the advancement of electronic health records. JAMA 2015;313(13):1315-6.

Article  CAS  PubMed  Google Scholar 

Schiff GD, Zucker L. Medical scribes: salvation for primary care or workaround for poor EMR usability? J Gen Intern Med. 2016;31(9):979-81.

Article  PubMed  PubMed Central  Google Scholar 

Pranaat R, Mohan V, O'Reilly M, et al. 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. JMIR Med Inform. 2017;5(3):e30.

Article  PubMed  PubMed Central  Google Scholar 

Rule A, Florig ST, Bedrick S, Mohan V, Gold JA, Hribar MR. Comparing scribed and non-scribed outpatient progress notes. AMIA Annu Symp Proc AMIA Symp 2021;2021.

Hribar MR, Dusek HL, Goldstein IH, Rule A, Chiang MF. Methods for large-scale quantitative analysis of scribe impacts on clinical documentation. AMIA Annu Symp Proc. 2020;2020:573-82.

PubMed  Google Scholar 

Florig ST, Corby S, Rosson NT, et al. Chart completion time of attending physicians while using medical scribes. AMIA Annu Symp Proc AMIA Symp 2021;2021.

Gold J. Take note: How medical scribes are trained-and used-varies widely. Doctors Company 2017.

Florig ST, Corby S, Devara T, Weiskopf NG, Mohan V, Gold JA. Medical record closure practices of physicians before and after the use of medical scribes. JAMA 2022;328(13):1350–1352. https://doi.org/10.1001/jama.2022.13558

Article  PubMed  Google Scholar 

Clarification: safe use of scribes in clinical settings. Joint Commission Perspectives. 2012/02/10 ed. Oakbrook Terrace (IL)2011 Jun. p. 4-5.

Department of Health & Human Services (US). Clarifying Signature Requirements. Pub 100-08: Transmittal 713. Baltimore (MD): Centers for Medicare & Medicaid Services (US), Department of Health & Human Services (Us); 2017 Oct 20. Report No.: Pub 100-08.

What guidelines should be followed when physicians or other licensed independent practitioners use scribes to assist with documentation? The Joint Commission Perspectives. 2018;38(8).

Verifying Potential Errors and Taking Corrective Actions. Baltimore (MD): Centers for Medicare & Medicaid Services (US); 2020 Oct 2. 113 p.

Physicians/Nonphysician Practitioners. Baltimore (MD): Centers for Medicare & Medicaid Services (US); 2021 May 3. 185 p.

Gold JA, Becton J, Ash JS, Corby S, and Mohan V. “Do You Know What Your Scribe Did Last Spring? the Impact of COVID-19 on Medical Scribe Workflow”. Applied Clinical Informatics 11, no. 5 (2020): 807–11. 10.1055/s-0040 1721396.

Ash JS, Corby S, Mohan V et al. Safe use of the EHR by medical scribes: a qualitative study. J Am Med Inform Assoc. 2021;28(2):294-302.

Article  PubMed  Google Scholar 

Corby S, Gold JA, Mohan V et al. A Sociotechnical Multiple Perspectives Approach to the Use of Medical Scribes: a Deeper Dive into the Scribe-Provider Interaction. AMIA Annu Symp Proc. 2019;2019:333-42.

PubMed  Google Scholar 

Corby, S, Ash JS, Whittaker K et al. Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach. J Am Med inform Assoc. 2022:00(0):1-9.

Corby S, Whittaker K, Ash JS, et al. The Future of Medical Scribes Documenting in the Electronic Health Record: Results of an Expert Consensus Conference. BMC Med Info Decision Making 21, no. 1 (2021). https://doi.org/10.1186/s12911-021-01560-4.

Ruggiano N, and Perry TE. Conducting secondary analysis of qualitative data: should we, can we, and how? Qualitative Social Work 18, no. 1 (2019): 81–97. https://doi.org/10.1177/1473325017700701.

Article  PubMed  Google Scholar 

Candela AG. Exploring the function of member checking. The Qualitative Report 2019;24(3):619-28.

Google Scholar 

Sigell, Bell SK, Delbanco T, Elmore JG, Fitzgerald PS, Fossa A, Harcourt K, Leveille SG, Payne TH, Stametz RA, Walker J, DesRoches CM, et al. Frequency and types of patient reported errors in electronic health record ambulatory care notes. JAMA Netw Open. 2020. 3(6):e205867. https://doi.org/10.1001/jamanetworkopen.2020.5867.

Article  Google Scholar 

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