Literature DB >> 32679585

Understanding enterprise data warehouses to support clinical and translational research.

Thomas R Campion1, Catherine K Craven2, David A Dorr3, Boyd M Knosp4.   

Abstract

OBJECTIVE: Among 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 METHODS: After conducting semistructured interviews with informatics leaders from 20 CTSA hubs, we performed a directed content analysis of interview notes informed by naturalistic inquiry.
RESULTS: We 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.
CONCLUSIONS: CTSA hubs described varying approaches to EDW4R operations that may assist other institutions in better serving investigators with electronic patient data.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  CTSA; EHR; data warehouse; secondary use

Mesh:

Year:  2020        PMID: 32679585      PMCID: PMC7647350          DOI: 10.1093/jamia/ocaa089

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   7.942


  36 in total

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Authors:  Griffin M Weber; Shawn N Murphy; Andrew J McMurry; Douglas Macfadden; Daniel J Nigrin; Susanne Churchill; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

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5.  Factors Associated with Increased Adoption of a Research Data Warehouse.

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Journal:  Stud Health Technol Inform       Date:  2019

Review 6.  Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.

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7.  Federated electronic health records research technology to support clinical trial protocol optimization: Evidence from EHR4CR and the InSite platform.

Authors:  Brecht Claerhout; Dipak Kalra; Christina Mueller; Gurparkash Singh; Nadir Ammour; Laura Meloni; Juuso Blomster; Mark Hopley; George Kafatos; Almenia Garvey; Peter Kuhn; Martine Lewi; Bart Vannieuwenhuyse; Benoît Marchal; Ketan Patel; Christoph Schindler; Mats Sundgren
Journal:  J Biomed Inform       Date:  2019-01-02       Impact factor: 6.317

8.  Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2).

Authors:  Shawn N Murphy; Griffin Weber; Michael Mendis; Vivian Gainer; Henry C Chueh; Susanne Churchill; Isaac Kohane
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Review 9.  Synergies and distinctions between computational disciplines in biomedical research: perspective from the Clinical andTranslational Science Award programs.

Authors:  Elmer V Bernstam; William R Hersh; Stephen B Johnson; Christopher G Chute; Hien Nguyen; Ida Sim; Meredith Nahm; Mark G Weiner; Perry Miller; Robert P DiLaura; Marc Overcash; Harold P Lehmann; David Eichmann; Brian D Athey; Richard H Scheuermann; Nick Anderson; Justin Starren; Paul A Harris; Jack W Smith; Ed Barbour; Jonathan C Silverstein; David A Krusch; Rakesh Nagarajan; Michael J Becich
Journal:  Acad Med       Date:  2009-07       Impact factor: 6.893

10.  Recommendations for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; James Cimino; Philip R O Payne; Peter Embi; Judith Logan; Mark Weiner; Elmer V Bernstam; Harold Lehmann; George Hripcsak; Timothy Hartzog; Joel Saltz
Journal:  EGEMS (Wash DC)       Date:  2013-10-08
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2.  Implementation of a Maternal Child Knowledgebase.

Authors:  Donna A Santillan; Mark K Santillan; Heather A Davis; Mark Crooks; Patrick J Flanagan; Chris E Ortman; Elissa Z Faro; Stephen K Hunter; Boyd K Knosp
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3.  Nonspecific deidentification of date-like text in deidentified clinical notes enables reidentification of dates.

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Review 4.  Using informatics to advance translational science: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.

Authors:  Bart Ragon; Boris B Volkov; Chris Pulley; Kristi Holmes
Journal:  J Clin Transl Sci       Date:  2022-05-16

5.  Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing.

Authors:  Boyd M Knosp; Catherine K Craven; David A Dorr; Elmer V Bernstam; Thomas R Campion
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 7.942

6.  Improving Research Patient Data Repositories From a Health Data Industry Viewpoint.

Authors:  Chunlei Tang; Jing Ma; Li Zhou; Joseph Plasek; Yuqing He; Yun Xiong; Yangyong Zhu; Yajun Huang; David Bates
Journal:  J Med Internet Res       Date:  2022-05-11       Impact factor: 7.076

7.  The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope.

Authors:  William R Hogan; Elizabeth A Shenkman; Temple Robinson; Olveen Carasquillo; Patricia S Robinson; Rebecca Z Essner; Jiang Bian; Gigi Lipori; Christopher Harle; Tanja Magoc; Lizabeth Manini; Tona Mendoza; Sonya White; Alex Loiacono; Jackie Hall; Dave Nelson
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

8.  Migrating a research data warehouse to a public cloud: challenges and opportunities.

Authors:  Michael G Kahn; Joyce Y Mui; Michael J Ames; Anoop K Yamsani; Nikita Pozdeyev; Nicholas Rafaels; Ian M Brooks
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

9.  Challenges and recommendations for high quality research using electronic health records.

Authors:  K Honeyford; P Expert; E E Mendelsohn; B Post; A A Faisal; B Glampson; E K Mayer; C E Costelloe
Journal:  Front Digit Health       Date:  2022-08-19

10.  Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research.

Authors:  Wenjun He; Katie G Kirchoff; Royce R Sampson; Kimberly K McGhee; Andrew M Cates; Jihad S Obeid; Leslie A Lenert
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

  10 in total

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