SynthesisJournal of the American Medical Informatics Association : JAMIA2020
How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review.
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.
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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interaction Time with Electronic Health Records: A Systematic Review.Applied clinical informatics · 2021Pooled it
- The Triple Burden of Administrative Tasks Among US Family Medicine Physicians-A Cross-sectional Study.Journal of general internal medicine · 2026Article
- Article
- The Current State of Digital Scribes in Primary Care: A Scoping Review.Journal of medical systems · 2026Article
- Understanding cardiovascular healthcare professionals' knowledge and attitudes toward exercise-based cardiac rehabilitation in coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- [Therapist augmentation by generative AI: concept and implementation of the GAINED feedback system at Osnabrück University].Psychotherapie (Heidelberg, Germany) · 2026Article
- Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson's Disease Diagnosis and Monitoring.Biomedicines · 2025Review
- The Impact of AI Scribes on Streamlining Clinical Documentation: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Article
- Article
- Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.Scientific data · 2023Article
- "Mm-hm," "Uh-uh": are non-lexical conversational sounds deal breakers for the ambient clinical documentation technology?Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Medical Scribes Have a Variable Impact on Documentation Workflows.Studies in health technology and informatics · 2022Article
- Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Electronic health record note review in an outpatient specialty clinic: who is looking?JAMIA open · 2021Article
- An interview study with medical scribes on how their work may alleviate clinician burnout through delegated health IT tasks.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Contribution of Free-Text Comments to the Burden of Documentation: Assessment and Analysis of Vital Sign Comments in Flowsheets.Journal of medical Internet research · 2021Article
- Comparing Scribed and Non-scribed Outpatient Progress Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.Journal of the American Medical Informatics Association : JAMIA · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
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.