Literature DB >> 32181812

How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review.

Brian D Tran1,2, Yunan Chen1, Songzi Liu3, Kai Zheng1,4.   

Abstract

OBJECTIVE: Use of medical scribes reduces clinician burnout by sharing the burden of clinical documentation. However, medical scribes are cost-prohibitive for most settings, prompting a growing interest in developing ambient, speech-based technologies capable of automatically generating clinical documentation based on patient-provider conversation. Through a systematic review, we aimed to develop a thorough understanding of the work performed by medical scribes in order to inform the design of such technologies.
MATERIALS AND METHODS: Relevant articles retrieved by searching in multiple literature databases. We conducted the screening process following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) in guidelines, and then analyzed the data using qualitative methods to identify recurring themes.
RESULTS: The literature search returned 854 results, 65 of which met the inclusion criteria. We found that there is significant variation in scribe expectations and responsibilities across healthcare organizations; scribes also frequently adapt their work based on the provider's style and preferences. Further, scribes' job extends far beyond capturing conversation in the exam room; they also actively interact with patients and the care team and integrate data from other sources such as prior charts and lab test results. DISCUSSION: The results of this study provide several implications for designing technologies that can generate clinical documentation based on naturalistic conversations taking place in the exam room. First, a one-size-fits-all solution will be unlikely to work because of the significant variation in scribe work. Second, technology designers need to be aware of the limited role that their solution can fulfill. Third, to produce comprehensive clinical documentation, such technologies will likely have to incorporate information beyond the exam room conversation. Finally, issues of patient consent and privacy have yet to be adequately addressed, which could become paramount barriers to implementing such technologies in realistic clinical settings.
CONCLUSIONS: Medical scribes perform complex and delicate work. Further research is needed to better understand their roles in a clinical setting in order to inform the development of speech-based clinical documentation technologies.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Documentation [L01.453.245]; Electronic Health Records [E05.318.308.940.968.625.500]; Health Information Technology; Medical Scribe; Professional Burnout [C24.580.500]; Speech Recognition Software [L01.224.900.889]; Workflow [L01.906.893]

Mesh:

Year:  2020        PMID: 32181812      PMCID: PMC7309239          DOI: 10.1093/jamia/ocaa020

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  67 in total

1.  Can medical scribes improve quality measure documentation?

Authors:  Jessica Platt; Wayne Altman
Journal:  J Fam Pract       Date:  2019-06       Impact factor: 0.493

2.  Physician Burnout.

Authors:  Henry S Levine
Journal:  JAMA       Date:  2019-02-05       Impact factor: 56.272

3.  Physician stress and burnout: the impact of health information technology.

Authors:  Rebekah L Gardner; Emily Cooper; Jacqueline Haskell; Daniel A Harris; Sara Poplau; Philip J Kroth; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2019-02-01       Impact factor: 4.497

Review 4.  The emergence of new data work occupations in healthcare: The case of medical scribes.

Authors:  Claus Bossen; Yunan Chen; Kathleen H Pine
Journal:  Int J Med Inform       Date:  2019-01-03       Impact factor: 4.046

5.  Scribes in an ambulatory urology practice: patient and physician satisfaction.

Authors:  Simi Koshy; Paul J Feustel; Michael Hong; Barry A Kogan
Journal:  J Urol       Date:  2010-05-16       Impact factor: 7.450

6.  Impact of Medical Scribes in Primary Care on Productivity, Face-to-Face Time, and Patient Comfort.

Authors:  Leah Zallman; Karen Finnegan; David Roll; Martina Todaro; Rawan Oneiz; Assaad Sayah
Journal:  J Am Board Fam Med       Date:  2018 Jul-Aug       Impact factor: 2.657

Review 7.  Effect of scribes on patient throughput, revenue, and patient and provider satisfaction: a systematic review and meta-analysis.

Authors:  Heather A Heaton; Ana Castaneda-Guarderas; Elliott R Trotter; Patricia J Erwin; M Fernanda Bellolio
Journal:  Am J Emerg Med       Date:  2016-07-28       Impact factor: 2.469

Review 8.  The Burden and Burnout in Documenting Patient Care: An Integrative Literature Review.

Authors:  Emily Gesner; Priscilla Gazarian; Patricia Dykes
Journal:  Stud Health Technol Inform       Date:  2019-08-21

9.  4000 clicks: a productivity analysis of electronic medical records in a community hospital ED.

Authors:  Robert G Hill; Lynn Marie Sears; Scott W Melanson
Journal:  Am J Emerg Med       Date:  2013-09-21       Impact factor: 2.469

Review 10.  Challenges of developing a digital scribe to reduce clinical documentation burden.

Authors:  Juan C Quiroz; Liliana Laranjo; Ahmet Baki Kocaballi; Shlomo Berkovsky; Dana Rezazadegan; Enrico Coiera
Journal:  NPJ Digit Med       Date:  2019-11-22
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  6 in total

1.  Reduced Cognitive Burden and Increased Focus: A Mixed-methods Study Exploring How Implementing Scribes Impacted Physicians.

Authors:  Elizabeth R Pfoh; Sandra Hong; Laura Baranek; Michael B Rothberg; Sarah Beinkampen; Anita D Misra-Hebert; Susan J Rehm; Andrea L Sikon
Journal:  Med Care       Date:  2022-04-01       Impact factor: 2.983

2.  Interaction Time with Electronic Health Records: A Systematic Review.

Authors:  Yuliya Pinevich; Kathryn J Clark; Andrew M Harrison; Brian W Pickering; Vitaly Herasevich
Journal:  Appl Clin Inform       Date:  2021-08-25       Impact factor: 2.762

3.  Comparing Scribed and Non-scribed Outpatient Progress Notes.

Authors:  Adam Rule; Sarah T Florig; Steven Bedrick; Vishnu Mohan; Jeffrey A Gold; Michelle R Hribar
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

4.  An interview study with medical scribes on how their work may alleviate clinician burnout through delegated health IT tasks.

Authors:  Brian D Tran; Kathryn Rosenbaum; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

5.  Electronic health record note review in an outpatient specialty clinic: who is looking?

Authors:  Jimmy S Chen; Michelle R Hribar; Isaac H Goldstein; Adam Rule; Wei-Chun Lin; Haley Dusek; Michael F Chiang
Journal:  JAMIA Open       Date:  2021-07-31

6.  Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

Authors:  A Baki Kocaballi; Kiran Ijaz; Liliana Laranjo; Juan C Quiroz; Dana Rezazadegan; Huong Ly Tong; Simon Willcock; Shlomo Berkovsky; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

  6 in total

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