Evidence map›Paper›PMID 26958223›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Veterans Health Administration Experience with Data Quality Surveillance of Continuity of Care Documents: Interoperability Challenges for eHealth Exchange Participants.

Jay Lyle, Omar Bouhaddou, Nathan Botts, Marie Swall, Eric Pan, Terry Cullen, Margaret Donahue, Nelson Hsing

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Jay LyleUS Department of Veterans Affairs, Washington, DC.
Omar BouhaddouUS Department of Veterans Affairs, Washington, DC.
Nathan BottsUS Department of Veterans Affairs, Washington, DC.
Marie SwallUS Department of Veterans Affairs, Washington, DC.
Eric PanUS Department of Veterans Affairs, Washington, DC.
Terry CullenUS Department of Veterans Affairs, Washington, DC.
Margaret DonahueUS Department of Veterans Affairs, Washington, DC.
Nelson HsingUS Department of Veterans Affairs, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As part of ongoing data quality efforts authors monitored health information retrieved through the United States Department of Veterans Affairs' (VA) Virtual Lifetime Electronic Record (VLER) Health operation. Health data exchanged through the eHealth Exchange (managed by Healtheway, Inc.) between VA and external care providers was evaluated in order to test methods of data quality surveillance and to identify key quality concerns. Testing evaluated transition of care data from 20 VLER Health partners. Findings indicated operational monitoring discovers issues not addressed during onboarding testing, that many issues result from specification ambiguity, and that many issues require human review. We make recommendations to address these issues, specifically to embed automated testing tools within information exchange transactions and to continuously monitor and improve data quality, which will facilitate adoption and use.

Indexed as

Continuity of Patient CareData AccuracyElectronic Health RecordsVeterans HealthAutomationData CurationHumansInformation DisseminationTelemedicineUnited StatesUnited States Department of Veterans AffairsVeterans

Identifiers

PMID26958223
PMCPMC4765662

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.