Evidence map›Paper›PMID 33928265›Full record

ArticleTechniques and innovations in gastrointestinal endoscopy2021

Development of an automated ERCP Quality Report Card using structured data fields.

Gregory A Coté, B Joseph Elmunzer, Erin Forster, Robert A Moran, John G Quiles, Daniel S Strand, Dushant S Uppal, Andrew Y Wang, Peter B Cotton, Michael G McMurtry and 1 more

Abstract read
In one paragraph

Article in Techniques and innovations in gastrointestinal endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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5 · Who and what money

Authors and funding

11 authors.

Gregory A CotéDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
B Joseph ElmunzerDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
Erin ForsterDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
Robert A MoranDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
John G QuilesDivision of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA.
Daniel S StrandDivision of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA.
Dushant S UppalDivision of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA.
Andrew Y WangDivision of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA.
Peter B CottonDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
Michael G McMurtryProvation Medical, Minneapolis, MN.
James M ScheimanDivision of Gastroenterology and Hepatology, University of Virginia, Charlottesville, VA.

Funding

Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DON C. ROCKEY · 2020 to 2026
$8.8M
NIDDK NIH HHS P30 DK123704
6 · The paper itself

Abstract

BACKGROUND AND

aimsMeasuring adherence to ERCP quality indicators (QIs) is confounded by variability in indications, maneuvers, and documentation styles. We hypothesized that incorporation of mandatory, structured data fields within reporting software would permit accurate measurement of QI adherence rates and facilitate generation of a provider ERCP report card.

methodsAt two referral centers, endoscopy documentation software was modified to generate provider alerts prior to finalizing the note. The alerts reminded the provider to document the following components in a standardized manner: indication, altered anatomy, prior interventions, and QIs deemed high priority by society consensus, study authors, or both. Adherence rates for each QI were calculated in aggregate and by provider via data extraction directly from the procedure documentation software. Medical records were reviewed manually to measure the accuracy of automated data extraction. Accuracy of automated measurement for each QI was calculated against results derived by manual review.

resultsDuring the 9-month study period, 1,376 ERCP procedures were completed by 8 providers. Manual medical record review confirmed high (98-100%) accuracy of automatic extraction of ERCP QIs from the endoscopy report, including cannulation rate of the native papilla and complete extraction of common bile duct stones. An ERCP report card was generated, allowing for individual comparison of adherence to ERCP QIs with colleagues at their institution and others.

conclusionIn this pilot study, use of mandatory, structured data fields within clinical ERCP reports permit the accurate measurement of high priority ERCP QIs and the subsequent generation of interval report cards.

Indexed as

BenchmarkingCholangiopancreatographyElectronic Health RecordsEndoscopic RetrogradeHealth CareQuality Indicators

Identifiers

PMID33928265
PMCPMC8078858

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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.