Evidence map›Paper›PMID 30815075›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Interoperability Progress and Remaining Data Quality Barriers of Certified Health Information Technologies.

John D'Amore, Omar Bouhaddou, Sandra Mitchell, Chun Li, Russell Leftwich, Todd Turner, Matthew Rahn, Margaret Donahue, Jonathan Nebeker

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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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

9 authors.

John D'AmoreDiameter Health, Inc. Farmington, CT.
Omar BouhaddouUS Department of Veterans Affairs, Washington, DC.
Sandra MitchellUS Department of Veterans Affairs, Washington, DC.
Chun LiDiameter Health, Inc. Farmington, CT.
Russell LeftwichInterSystems, Inc. Cambridge, MA.
Todd TurnerUS Department of Veterans Affairs, Washington, DC.
Matthew RahnUS Department of Health and Human Services, Office of the National Coordinator for Health Information Technology, Washington, DC.
Margaret DonahueUS Department of Veterans Affairs, Washington, DC.
Jonathan NebekerUS Department of Veterans Affairs, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Consolidated Clinical Document Architecture (C-CDA) is the primary standard for clinical document exchange in the United States. While document exchange is prevalent today, prior research has documented challenges to high quality, effective interoperability using this standard. Many electronic health records (EHRs) have recently been certified to a new version of the C-CDA standard as part of federal programs for EHR adoption. This renewed certification generated example documents from 52 health information technologies that have been made publicly available. This research applies automated tooling and manual inspection to evaluate conformance and data quality of these testing artifacts. It catalogs interoperability progress as well as remaining barriers to effective data exchange. Its findings underscore the importance of programs that evaluate data quality beyond schematron conformance to enable the high quality and safe exchange of clinical data.

Indexed as

CertificationData AccuracyElectronic Health RecordsHealth Information InteroperabilityHumansMedical Records Systems, ComputerizedUnited StatesUnited States Department of Veterans Affairs

Identifiers

PMID30815075
PMCPMC6371305

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.