Evidence map›Paper›PMID 24680985›Full record

ArticleJournal of biomedical informatics2014

The long road to semantic interoperability in support of public health: experiences from two states.

Brian E Dixon, Daniel J Vreeman, Shaun J Grannis

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Glossary for public health surveillance in the age of data science.Journal of epidemiology and community health · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring.International journal of environmental research and public health · 2018
    Article
  10. Article
  11. Which veterans enroll in a VA health information exchange program?Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  12. Consolidating CCDs from multiple data sources: a modular approach.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  13. Learning from the crowd while mapping to LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  14. Article
  15. Review
  16. Implications for informatics given expanding access to care for Veterans and other populations.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  17. Article
  18. Article
  19. Monitoring Depression Rates in an Urban Community: Use of Electronic Health Records.Journal of public health management and practice : JPHMP
    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.

Brian E DixonDepartment of BioHealth Informatics, Indiana University School of Informatics and Computing, Indianapolis, IN, USA; Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA; Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, 410 W. 10th St., Suite 2000, Indianapolis, IN 46202, USA. Electronic address: bedixon@iupui.edu.
Daniel J VreemanIndiana University School of Medicine Indianapolis, IN, Regenstrief Institute, Inc., Indianapolis, IN, USA.
Shaun J GrannisIndiana University School of Medicine Indianapolis, IN, Regenstrief Institute, Inc., Indianapolis, IN, USA.

Funding

Improving Population Health Through Enhanced Targeted Regional Decision SupportR01HS020909 · AHRQ · INDIANA UNIVERSITY INDIANAPOLIS · PI DIXON, BRIAN E. · 2011 to 2015
$2.0M
AHRQ HHS R01 HS020909AHRQ HHS R01HS020909NLM NIH HHS HHSN276200800006CPHS HHS HHSN2762008000006C
6 · The paper itself

Abstract

Proliferation of health information technologies creates opportunities to improve clinical and public health, including high quality, safer care and lower costs. To maximize such potential benefits, health information technologies must readily and reliably exchange information with other systems. However, evidence from public health surveillance programs in two states suggests that operational clinical information systems often fail to use available standards, a barrier to semantic interoperability. Furthermore, analysis of existing policies incentivizing semantic interoperability suggests they have limited impact and are fragmented. In this essay, we discuss three approaches for increasing semantic interoperability to support national goals for using health information technologies. A clear, comprehensive strategy requiring collaborative efforts by clinical and public health stakeholders is suggested as a guide for the long road towards better population health data and outcomes.

Indexed as

Medical InformaticsPublic HealthSemanticsInfectious disease reportingMeaningful useMedical informaticsPublic health informaticsPublic policy

Identifiers

PMID24680985
PMCPMC4083703

What OpenQuestion holds

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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.