Evidence map›Paper›PMID 24872909›Full record

ArticleHealthcare informatics research2014

Characteristics desired in clinical data warehouse for biomedical research.

Soo-Yong Shin, Woo Sung Kim, Jae-Ho Lee

Abstract read
In one paragraph

Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. An atomic approach to the design and implementation of a research data warehouse.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  8. Article
  9. Review
  10. Understanding enterprise data warehouses to support clinical and translational research.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A conceptual framework for evaluating data suitability for observational studies.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. 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.

Soo-Yong ShinDepartment of Biomedical Informatics, Asan Medical Center, Seoul, Korea.
Woo Sung KimDepartment of Biomedical Informatics, Asan Medical Center, Seoul, Korea. ; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jae-Ho LeeDepartment of Biomedical Informatics, Asan Medical Center, Seoul, Korea. ; Department of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. ; Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDue to the unique characteristics of clinical data, clinical data warehouses (CDWs) have not been successful so far. Specifically, the use of CDWs for biomedical research has been relatively unsuccessful thus far. The characteristics necessary for the successful implementation and operation of a CDW for biomedical research have not clearly defined yet.

methodsTHREE EXAMPLES OF CDWS WERE REVIEWED: a multipurpose CDW in a hospital, a CDW for independent multi-institutional research, and a CDW for research use in an institution. After reviewing the three CDW examples, we propose some key characteristics needed in a CDW for biomedical research.

resultsA CDW for research should include an honest broker system and an Institutional Review Board approval interface to comply with governmental regulations. It should also include a simple query interface, an anonymized data review tool, and a data extraction tool. Also, it should be a biomedical research platform for data repository use as well as data analysis.

conclusionsThe proposed characteristics desired in a CDW may have limited transfer value to organizations in other countries. However, these analysis results are still valid in Korea, and we have developed clinical research data warehouse based on these desiderata.

Indexed as

Biomedical ResearchInformation Storage and RetrievalPrivacyResearch DesignResearch Ethics

Identifiers

PMID24872909
PMCPMC4030054

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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.