Evidence map›Paper›PMID 24699371›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Query Health: standards-based, cross-platform population health surveillance.

Jeffrey G Klann, Michael D Buck, Jeffrey Brown, Marc Hadley, Richard Elmore, Griffin M Weber, Shawn N Murphy

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  4. Examining the Needs of Patient Stakeholders as Research Partners in Health Data Networks for Translational Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
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  6. Observational
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  9. Data interchange using i2b2.Journal of the American Medical Informatics Association : JAMIA · 2016
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  10. Review
  11. Optimizing Enrollment of Patients into Nephrology Research Studies.Clinical journal of the American Society of Nephrology : CJASN · 2016
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  12. Article
  13. A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Taking advantage of continuity of care documents to populate a research repository.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  19. Examining Researcher Needs and Barriers for using Electronic Health Data for Translational Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  20. 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

7 authors at 6 institutions in 1 country.

Jeffrey G KlannPartners Healthcare, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA Massachusetts General Hospital, Boston, Massachusetts, USA.
Michael D BuckNew York City Department of Health and Mental Hygiene, Queens, New York, USA.
Jeffrey BrownHarvard Medical School, Boston, Massachusetts, USA Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Marc HadleyMITRE CORP, Burlington, Massachusetts, USA.
Richard ElmoreAllscripts, Burlington, Vermont, USA.
Griffin M WeberHarvard Medical School, Boston, Massachusetts, USA Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Shawn N MurphyPartners Healthcare, Boston, Massachusetts, USA Harvard Medical School, Boston, Massachusetts, USA Massachusetts General Hospital, Boston, Massachusetts, USA.
Mass General Brigham · USAllscripts (United States) · USBeth Israel Deaconess Medical Center · USHarvard University · USMitre (United States) · USNew York City Department of Health and Mental Hygiene · US

Funding

Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
Scalable PArtnering Network for CER: Across Lifespan, Conditions, and SettingsR01HS019912 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI DALEY, MATTHEW FREDRICK · 2010 to 2010
$8.3M
AHRQ HHS HS19912-01AHRQ HHS R01 HS019912FDA HHS HHSF223200910006INCATS NIH HHS ONC 90TR0001/01NCATS NIH HHS UL1 TR000001NLM NIH HHS U54LM00874
6 · The paper itself

Abstract

objectiveUnderstanding population-level health trends is essential to effectively monitor and improve public health. The Office of the National Coordinator for Health Information Technology (ONC) Query Health initiative is a collaboration to develop a national architecture for distributed, population-level health queries across diverse clinical systems with disparate data models. Here we review Query Health activities, including a standards-based methodology, an open-source reference implementation, and three pilot projects. MATERIALS AND

methodsQuery Health defined a standards-based approach for distributed population health queries, using an ontology based on the Quality Data Model and Consolidated Clinical Document Architecture, Health Quality Measures Format (HQMF) as the query language, the Query Envelope as the secure transport layer, and the Quality Reporting Document Architecture as the result language.

resultsWe implemented this approach using Informatics for Integrating Biology and the Bedside (i2b2) and hQuery for data analytics and PopMedNet for access control, secure query distribution, and response. We deployed the reference implementation at three pilot sites: two public health departments (New York City and Massachusetts) and one pilot designed to support Food and Drug Administration post-market safety surveillance activities. The pilots were successful, although improved cross-platform data normalization is needed. DISCUSSIONS: This initiative resulted in a standards-based methodology for population health queries, a reference implementation, and revision of the HQMF standard. It also informed future directions regarding interoperability and data access for ONC's Data Access Framework initiative.

conclusionsQuery Health was a test of the learning health system that supplied a functional methodology and reference implementation for distributed population health queries that has been validated at three sites.

Indexed as

Information DisseminationProgramming LanguagesPublic Health SurveillanceHumansInformation SystemsInternetMedical InformaticsUnited StatesVocabulary, ControlledDatabase Management SystemsHealthcare Quality AssessmentMedical InformaticsPublic Health InformaticsSystems Integration

Identifiers

PMID24699371
PMCPMC4078284
OpenAlexW2130865790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.