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Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing.
Knosp, Boyd M; Craven, Catherine K; Dorr, David A; Bernstam, Elmer V; Campion, Thomas R.
Afiliação
  • Knosp BM; Roy J. and Lucille A. Carver College of Medicine and the Institute for Clinical & Translational Science, University of Iowa, Iowa City, Iowa, USA.
  • Craven CK; Division of Clinical Research Informatics, Department of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas, USA.
  • Dorr DA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.
  • Bernstam EV; Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA.
  • Campion TR; Center for Clinical and Translational Sciences, University of Texas Health Science Center, Houston, Texas, USA.
J Am Med Inform Assoc ; 29(4): 671-676, 2022 03 15.
Article em En | MEDLINE | ID: mdl-35289370
ABSTRACT

OBJECTIVE:

Among National Institutes of Health Clinical and Translational Science Award (CTSA) hubs, effective approaches for enterprise data warehouses for research (EDW4R) development, maintenance, and sustainability remain unclear. The goal of this qualitative study was to understand CTSA EDW4R operations within the broader contexts of academic medical centers and technology. MATERIALS AND

METHODS:

We performed a directed content analysis of transcripts generated from semistructured interviews with informatics leaders from 20 CTSA hubs.

RESULTS:

Respondents referred to services provided by health system, university, and medical school information technology (IT) organizations as "enterprise information technology (IT)." Seventy-five percent of respondents stated that the team providing EDW4R service at their hub was separate from enterprise IT; strong relationships between EDW4R teams and enterprise IT were critical for success. Managing challenges of EDW4R staffing was made easier by executive leadership support. Data governance appeared to be a work in progress, as most hubs reported complex and incomplete processes, especially for commercial data sharing. Although nearly all hubs (n = 16) described use of cloud computing for specific projects, only 2 hubs reported using a cloud-based EDW4R. Respondents described EDW4R cloud migration facilitators, barriers, and opportunities.

DISCUSSION:

Descriptions of approaches to how EDW4R teams at CTSA hubs work with enterprise IT organizations, manage workforces, make decisions about data, and approach cloud computing provide insights for institutions seeking to leverage patient data for research.

CONCLUSION:

Identification of EDW4R best practices is challenging, and this study helps identify a breadth of viable options for CTSA hubs to consider when implementing EDW4R services.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa Translacional Biomédica / Data Warehousing Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pesquisa Translacional Biomédica / Data Warehousing Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos