Date of Award

11-28-2016

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Information Science

First Advisor

John Talburt

Abstract

This dissertation is focused in the case study of how a large academic, medical, research centers used the principles of master data management to design, build, and implement an enterprise data warehouse. Data governance, stewardship, entity resolution, and strong supporting metadata programs are at the center of a successful enterprise data warehouse. Migrating legacy clinical and research data in structured, unstructured, text, images, signature, pictures, and multimedia format into a single trusted data warehouse is a significant task. On March 23, 2010, President Obama signed into law one of the most comprehensive revisions to our nation’s health care system in history. The ACA’s goals are to increase access, promote quality, and improve the efficiency of our complex and fragmented patient-care effort (Larrat, Marcoux, & Vogenberg, 2012). It will be critical to healthcare organizations that they accurate, valid and timely clinical, billing, quality, and patient satisfaction data to understand the complete episode of care. The shift from fee for service to value based payment contracts will drive the absolute necessity of a trusted enterprise data warehouse and sophisticated analytic models to calculate true cost. Reimbursements are becoming tied to quality measurements and patient satisfaction. Healthcare organization and providers will begin to be penalized or incentivized based on performance.

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