Evidence map›Paper›PMID 42056365›Full record

ArticleJournal of general internal medicine2026

Barriers to Leveraging Patient Safety Event Reviews for Organizational Learning, Improvement, and Diagnostic Error Reduction: Results of a Single Academic Center Survey Study.

Jacob T Luty, Sky Corby, Rebecca Jungbauer, Ania Syrowatka, Vishnu Mohan, Seth Krevat, Raj Ratwani, David W Bates, Jeffrey A Gold

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jacob T LutyDivision of Hospital Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA. lutyj@ohsu.edu.
Sky CorbyDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Rebecca JungbauerDivision of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
Ania SyrowatkaDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Vishnu MohanDivision of Informatics, Clinical Epidemiology, and Translational Data Science, Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
Seth KrevatNational Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, USA.
Raj RatwaniNational Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, USA.
David W BatesDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jeffrey A GoldDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health and Science University, Portland, OR, USA.

Funding

Agency for Healthcare Research and Quality Safety Program for Telemedicine 1R18HS029345-01AHRQ HHS R18 HS029345
6 · The paper itself

Abstract

backgroundDiagnostic errors represent a major cause of patient harm. One way to reduce diagnostic errors is to support learning health systems with standardized event review practices and data integration across event types and health systems. The extent to which this occurs and the barriers to doing so remain poorly characterized.

objectivesCharacterize event review practices and analyze the presence and distribution of key patient safety learning system constructs, diagnostic error analysis capabilities, and implementation barriers across a health system.

designWe developed a survey of participant safety event review practices, associated learning health system activities, diagnostic error analysis capabilities, data integration, and implementation barriers.

participantsThe survey was electronically distributed to a purposive sample of health system employees who routinely perform safety event reviews at one US academic medical center. APPROACH: Descriptive statistics were reported for survey constructs. Chi-square analysis was used to assess for non-response bias. KEY

resultsOne hundred and six of 249 possible respondents (42.6%) completed the survey. Safety event report review was the most frequently performed review type (85.5%) and legal claims review was the least frequent (17.0%). Only safety event report databases characterized diagnostic errors to a high degree (50.0%), while those for other event categories did so less frequently (< 30%). Few respondents reported tracking learnings across event categories (< 25% for all event types). Lack of dedicated review resources and supportive event review software were key barriers to learning and system improvement.

conclusionsThere is a need for more consistent practice across all safety event review types if learnings are to reduce diagnostic error and other drivers of patient harm. Organizations may benefit from standardization of review processes, databases that categorize diagnostic error within and across event review types, and resources to support reviews and translation of learnings into system improvement.

Indexed as

clinical auditdiagnostic errorspatient safetyquality improvementsurveys and questionnaires

Identifiers

PMID42056365

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.