Evidence map›Paper›PMID 32679585›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Understanding enterprise data warehouses to support clinical and translational research.

Thomas R Campion, Catherine K Craven, David A Dorr, Boyd M Knosp

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 36 citations in OpenAlex.

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  11. Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024
    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

4 authors at 4 institutions in 1 country.

Thomas R CampionDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Catherine K CravenInstitute for Health Care Delivery Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
David A DorrDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon, USA.
Boyd M KnospInstitute for Clinical and Translational Science, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Cornell University · USIcahn School of Medicine at Mount Sinai · USOregon Health & Science University · USUniversity of Iowa · US

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
MSHS Translational Science HubUL1TR001433 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2015 to 2019
$26.6M
The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
CTSA Coordinating Center for Leading Innovation and Collaboration (CLIC)U24TR002260 · NCATS · UNIVERSITY OF ROCHESTER · PI OSSIP, DEBORAH J, ZAND, MARTIN S · 2017 to 2021
$19.0M
NCATS NIH HHS U24 TR002260NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1 TR001433NCATS NIH HHS UL1 TR002369NCATS NIH HHS UL1 TR002384NCATS NIH HHS UL1 TR002537
6 · The paper itself

Abstract

objectiveAmong National Institutes of Health Clinical and Translational Science Award (CTSA) hubs, adoption of electronic data warehouses for research (EDW4R) containing data from electronic health record systems is nearly ubiquitous. Although benefits of EDW4R include more effective, efficient support of scientists, little is known about how CTSA hubs have implemented EDW4R services. The goal of this qualitative study was to understand the ways in which CTSA hubs have operationalized EDW4R to support clinical and translational researchers. MATERIALS AND

methodsAfter conducting semistructured interviews with informatics leaders from 20 CTSA hubs, we performed a directed content analysis of interview notes informed by naturalistic inquiry.

resultsWe identified 12 themes: organization and data; oversight and governance; data access request process; data access modalities; data access for users with different skill sets; engagement, communication, and literacy; service management coordinated with enterprise information technology; service management coordinated within a CTSA hub; service management coordinated between informatics and biostatistics; funding approaches; performance metrics; and future trends and current technology challenges. DISCUSSION: This study is a step in developing an improved understanding and creating a common vocabulary about EDW4R operations across institutions. Findings indicate an opportunity for establishing best practices for EDW4R operations in academic medicine. Such guidance could reduce the costs associated with developing an EDW4R by establishing a clear roadmap and maturity path for institutions to follow.

conclusionsCTSA hubs described varying approaches to EDW4R operations that may assist other institutions in better serving investigators with electronic patient data.

Indexed as

Biomedical ResearchData WarehousingElectronic Health RecordsHumansInterviews as TopicNational Institutes of Health (U.S.)Research PersonnelResearch Support as TopicTranslational Research, BiomedicalUnited StatesCTSAdata warehouseEHRsecondary use

Identifiers

PMID32679585
PMCPMC7647350
OpenAlexW3043082460

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.