Evidence map›Paper›PMID 40116912›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

The value of simulation testing for the evaluation of ambient digital scribes: a case report.

Joshua M Biro, Jessica L Handley, James Mickler, Sahithi Reddy, Varsha Kottamasu, Raj M Ratwani, Nathan K Cobb

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Ethical considerations for clinical adoption of ambient digital scribe technology.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  6. Review
  7. Article
  8. Enhancing Structured Team Communication in Acute Care Settings with Ambient AI Scribes.Journal of the American Medical Informatics Association : JAMIA · 2025
    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

7 authors.

Joshua M BiroMedStar Health National Center for Human Factors in Healthcare, Washington, DC 20008, United States.
Jessica L HandleyMedStar Health National Center for Human Factors in Healthcare, Washington, DC 20008, United States.
James MicklerGeorgetown University Medical Center, Washington, DC 20007, United States.
Sahithi ReddyGeorgetown University Medical Center, Washington, DC 20007, United States.
Varsha KottamasuMedStar Health Institute for Innovation, Washington, DC 20008, United States.
Raj M RatwaniMedStar Health National Center for Human Factors in Healthcare, Washington, DC 20008, United States.
Nathan K CobbGeorgetown University Medical Center, Washington, DC 20007, United States.

Funding

AHRQ HHS #: 1R03HS030307-01AHRQ HHS 1R03HS030307-01AHRQ HHS R03 HS030307
6 · The paper itself

Abstract

objectivesThe objective of this work is to demonstrate the value of simulation testing for rapidly evaluating artificial intelligence (AI) products. MATERIALS AND

methodsResearcher-physician teams simulated the use of 2 Ambient Digital Scribe (ADS) products by reading scripts of outpatient encounters while using both products, yielding a total of 44 draft notes. Time to edit, perceived amount of effort and editing, and errors in the AI-generated draft notes were analyzed.

resultsAmbient Digital Scribe Product A draft notes took significantly longer to edit, had fewer omissions, and more additions and irrelevant or misplaced text errors than ADS Product B. Ambient Digital Scribe Product A was rated as performing better for most encounters. DISCUSSION: Artificial intelligence-enabled products are being rapidly developed and implemented into practice, outpacing safety concerns. Simulation testing can efficiently identify safety issues.

conclusionSimulation testing is a crucial first step to take when evaluating AI-enabled technologies.

Indexed as

Artificial IntelligenceComputer SimulationDocumentationElectronic Health RecordsHumansartificial intelligencenatural language processingsafetysimulation testing

Identifiers

PMID40116912
PMCPMC12012335

What OpenQuestion holds

Textmetadata
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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.