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      Data Warehouse Governance Programs in Healthcare Settings: A Literature Review and a Call to Action

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          Abstract

          Purpose:

          Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research.

          Methods:

          A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis.

          Results:

          Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine.

          Conclusions:

          While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain.

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          Most cited references27

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          The "meaningful use" regulation for electronic health records.

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            The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data.

            Mayo Clinic's Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information retrieval, business intelligence, and high-level decision making. Structurally it is a top-down, subject-oriented, integrated, time-variant, and non-volatile collection of data in support of Mayo Clinic's analytic and decision-making processes. It is an interconnected piece of Mayo Clinic's Enterprise Information Management initiative, which also includes Data Governance, Enterprise Data Modeling, the Enterprise Vocabulary System, and Metadata Management. These resources enable unprecedented organization of enterprise information about patient, genomic, and research data. While facile access for cohort definition or aggregate retrieval is supported, a high level of security, retrieval audit, and user authentication ensures privacy, confidentiality, and respect for the trust imparted by our patients for the respectful use of information about their conditions.
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              Launching accountable care organizations--the proposed rule for the Medicare Shared Savings Program.

              D Berwick (2011)
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                Author and article information

                Journal
                EGEMS (Wash DC)
                EGEMS (Wash DC)
                eGEMs
                EGEMS
                AcademyHealth
                2327-9214
                2013
                08 October 2013
                : 1
                : 1
                : 1010
                Affiliations
                [i ]Essentia Institute of Rural Health
                [ii ]University of Pennsylvania
                [iii ]Denver Public Health
                [iv ]Kaiser Permanente Center for Health Research
                [v ]HealthPartners Institute of Education and Research
                [vi ]Kaiser Permanente Colorado Institute for Health Research
                Article
                egems1010
                10.13063/2327-9214.1010
                4371514
                52442697-5234-4139-8d56-246c9f545e9c
                Copyright @ 2013

                All eGEMs publications are licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                Categories
                Governance

                governance,health information technology,span
                governance, health information technology, span

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