Author: Tyson B. Botello, M.P.H. (2013)
Primary Advisor: Juliana Brixey, PhD MPH RN
Committee Members: Adol Esquivel, M.D., Ph.D.
Masters thesis, The University of Texas School of Biomedical Informatics at Houston.
This systematic review of the literature identifies the state of the science of enterprise data governance in healthcare over the past decade (January 1, 2003 - October 30, 2013) using the National Library of Medicine’s literature database, PubMed. Data governance is a commonly cited strategy to align people, process, and data when implementing an enterprise technology in data driven industries outside of healthcare. However, published literature suggests growing interest in data governance to facilitate electronic health record (EHR) implementation and utilization, enterprise data warehousing of patient data across the continuum of care, and clinical research using biomedical registries. Additionally, literature focusing on best practices in data stewardship is emerging to assist health care professionals in operationalizing data governance methods and strategies. Further research is needed to provide a more in depth understanding of enterprise data governance in healthcare and to empirically validate claims made in the literature.
[Key Words: Data Governance; Data Stewardship; Maturity Model, Healthcare]