Evidence map›Paper›PMID 40812381›Full record

ArticleApplied clinical informatics2025

Optimizing Documentation Integrity of Ophthalmic Diagnostic Test Interpretation through Electronic Health Record Clinical Decision Support.

Lydia J Yang, Molly Kuhn, James M Blum, Andrew E Pouw

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Lydia J YangDepartment of Ophthalmology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States.
Molly KuhnDepartment of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States.
James M BlumDepartment of Anesthesia, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States.
Andrew E PouwDepartment of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic health records (EHRs) have revolutionized clinical practice, but clinicians and institutions have not yet fully optimized their use. Inconsistent documentation of ophthalmic test results can increase potential medicolegal risks if providers bill for tests without properly documenting clinical interpretations.To address this, we developed and implemented a logic tool in Epic (Epic Systems, Verona, Wisconsin, United States) that prompts clinicians to document diagnostic test interpretations as discrete data before closing the patient chart.We implemented a "Close Encounter Warning" using logic rules to redirect clinicians to the Imaging and Procedures section of the Epic chart for documenting test interpretations. The implementation only allows clinicians to finalize each outpatient encounter's charting as closed if the logic rules confirm that no unsigned test results remain. The logic rules were revised many times to accommodate the unique workflow of the Ophthalmology department and to consider the roles of fellows, residents, and staff who also work with encounter charting. We implemented the initial logic rule on October 23, 21 and the final iteration on February8, 22. To evaluate the impact, we compared the number of closed charts containing unresulted diagnostic tests from October 2017 to December 2024.Before we implemented the logic rules, clinicians closed an average of 897.1 charts per month with unresulted diagnostic images (median: 916, interquartile range [IQR]: 170, 5.78% of all outpatient encounters). After implementation, this number dropped to 8.3 per month (median: 8, IQR: 5.75, 0.05% of all outpatient encounters), a 108% reduction (

Indexed as

Decision Support Systems, ClinicalDiagnostic Tests, RoutineDocumentationElectronic Health RecordsHumans

Identifiers

PMID40812381
PMCPMC12352986

What OpenQuestion holds

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Registered trials

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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.