Evidence map›Paper›PMID 32181812›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2020

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

Brian D Tran, Yunan Chen, Songzi Liu, Kai Zheng

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Medical Scribes Have a Variable Impact on Documentation Workflows.Studies in health technology and informatics · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Comparing Scribed and Non-scribed Outpatient Progress Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Brian D TranDepartment of Informatics, Donald Bren School of Informatics and Computer Science, University of California, Irvine, Irvine, California, USA.
Yunan ChenDepartment of Informatics, Donald Bren School of Informatics and Computer Science, University of California, Irvine, Irvine, California, USA.
Songzi LiuThe School of Information and Library Science, University of North Carolina, Chapel Hill, North Carolina, USA.
Kai ZhengDepartment of Informatics, Donald Bren School of Informatics and Computer Science, University of California, Irvine, Irvine, California, USA.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GOLDIN, ALAN L · 1999 to 2023
$8.1M
NCATS NIH HHS UL1 TR001414NIGMS NIH HHS T32 GM008620
6 · The paper itself

Abstract

objectiveUse 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

methodsRelevant 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.

resultsThe 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.

conclusionsMedical 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.

Indexed as

Allied Health PersonnelElectronic Health RecordsVoice RecognitionDocumentationHumansSpeech Recognition SoftwareDocumentation [L01.453.245]Electronic Health Records [E05.318.308.940.968.625.500]Health Information TechnologyMedical ScribeProfessional Burnout [C24.580.500]Speech Recognition Software [L01.224.900.889]Workflow [L01.906.893]

Identifiers

PMID32181812
PMCPMC7309239

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.