A Multidimensional Data Warehouse for Community Health Centers

Kislaya Kunjan, Tammy Toscos, Ayten Turkcan, Bradley Doebbeling

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across the practice. We have developed a multidimensional clinic data warehouse (CDW) by working with 7 CHCs across the state of Indiana and integrating their operational, financial and electronic patient records to support ongoing delivery of care. We describe in detail the rationale for the project, the data architecture employed, the content of the data warehouse, along with a description of the challenges experienced and strategies used in the development of this repository that may help other researchers, managers and leaders in health informatics. The resulting multidimensional data warehouse is highly practical and is designed to provide a foundation for wide-ranging healthcare data analytics over time and across the community health research enterprise.

Original languageEnglish (US)
Pages (from-to)1976-1984
Number of pages9
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2015
StatePublished - Jan 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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