Abstract
The measurement and assessment of health status in communities throughout the world is a massive information technology challenge. The Comprehensive Assessment for Tracking Community Health (CATCH) methodology provides a systematic framework for community-level assessment that can be a valuable tool for resource allocation and health care policy formulation. CATCH utilizes health status indicators from multiple data sources, using an innovative comparative framework and weighted evaluation process to produce a rank-ordered list of critical community health care challenges. The community-level focus is intended to empower local decision-makers and provide a clear methodology for organizing and interpreting relevant health care data. The effectiveness of the CATCH methodology is based on a data warehousing approach. The data warehouse allows a core set of reports to be produced at a reasonable cost for community use. In addition, online analytic processing (OLAP) functionality can be used to gain a deeper understanding of the health care issues. The data warehouse in conjunction with Internet-enabled dissemination methods will allow the information to be presented in a variety of formats and be distributed more widely in the decision-making community. On-going research directions in community health care decision making conclude the paper.
Recommended Citation
Berndt, Donald J.; Hevner, Alan R.; and Studnicki, James, "Community Healh Assessments: A Data Warehousing Approach" (2000). ECIS 2000 Proceedings. 129.
https://aisel.aisnet.org/ecis2000/129