Evidence map›Paper›PMID 41710350›Full record

ArticleHealthcare technology letters

E-Variance: An Application to Assure Clinical Data Integrity and Improve Patient Safety and Workflows in Electronic Medical Records.

Shafiq Rahman, Konstantin Milman, Taek-Soo Lee

Abstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Shafiq RahmanDepartment of Radiation Oncology University of Maryland Medical System Baltimore Maryland USA.
Konstantin MilmanDepartment of Radiation Oncology University of Maryland Medical System Baltimore Maryland USA.
Taek-Soo LeeDepartment of Radiation Oncology University of Maryland Medical System Baltimore Maryland USA.ORCID https://orcid.org/0000-0002-6613-6168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Ensuring critical data integrity practices are often missing from the confidence of decision-making in the recorded clinical data. Thus, we developed an application to report clinical data errors to provide effective healthcare IT services and maintain clinical data integrity. Materials and Methods: The RadOnc E-Variance web-based application was designed and developed to report data inconsistencies and variances noted during clinical operations. The data inconsistency issues can be reported in 3 broad categories: Patient-related, Non-Patient related, and other suggestions/open-ended, allowing uploading of images or document files. The contents presented on the web are dynamically created in the application and are stored in a database. In the back-end, data analytics and detailed assessments are available on the dashboard. Users reporting variances remain anonymous to ensure reporting freely and frequently. Results: Once implemented clinically, we have found significant improvements with fewer errors, ensured patient treatment safety, and improved workflows in our state-wide clinics. Conclusion: The RadOnc E-Variance application effectively increases patient safety by ensuring data integrity and minimises risks in the EMR applications at multifaceted enterprise levels of hospital environments by reducing the inconsistencies in data recording and errors recorded in electronic health records.

Indexed as

data integrationElectronic Medical Recordweb services

Identifiers

PMID41710350
PMCPMC12912247

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.