Evidence map›Paper›PMID 24551366›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories.

Vojtech Huser, James J Cimino

Abstract readComparative Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024
    Article
  3. An atomic approach to the design and implementation of a research data warehouse.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  4. Review
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  6. Article
  7. Data Science for Child Health.The Journal of pediatrics · 2019
    Review
  8. Article
  9. A conceptual framework for evaluating data suitability for observational studies.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  10. Clinical Concept Value Sets and Interoperability in Health Data Analytics.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  11. Automated Population of an i2b2 Clinical Data Warehouse using FHIR.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Using i2b2 to Bootstrap Rural Health Analytics and Learning Networks.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
  16. Article
  17. Desiderata for computable representations of electronic health records-driven phenotype algorithms.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  18. A Modular Architecture for Electronic Health Record-Driven Phenotyping.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  19. 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

2 authors.

Vojtech HuserLaboratory for Informatics Development, NIH Clinical Center, Bethesda, MD.
James J CiminoLaboratory for Informatics Development, NIH Clinical Center, Bethesda, MD.

Funding

Biomedical Translational Research Information System (BTRIS) Data Reuse ProtocolZIACL000904 · CLC · CLINICAL CENTER · PI CIMINO, JAMES · 2009 to 2014
$0k
Improving the Clinical Research Informatics and Clinical Bioinformatics Infrastructure at the NIH Clinical CenterZIACL000907 · CLC · CLINICAL CENTER · PI HUSER, VOJTECH · 2014 to 2014
$0k
Intramural NIH HHS
6 · The paper itself

Abstract

Integrated data repositories (IDRs) are indispensable tools for numerous biomedical research studies. We compare three large IDRs (Informatics for Integrating Biology and the Bedside (i2b2), HMO Research Network's Virtual Data Warehouse (VDW) and Observational Medical Outcomes Partnership (OMOP) repository) in order to identify common architectural features that enable efficient storage and organization of large amounts of clinical data. We define three high-level classes of underlying data storage models and we analyze each repository using this classification. We look at how a set of sample facts is represented in each repository and conclude with a list of desiderata for IDRs that deal with the information storage model, terminology model, data integration and value-sets management.

Indexed as

Databases, FactualSystems IntegrationBiomedical ResearchElectronic Health RecordsHumansInformation Storage and Retrieval

Identifiers

PMID24551366
PMCPMC3900207

What OpenQuestion holds

Textmetadata
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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.