NC CATCH: Advancing Public Health Analytics
Author(s) -
James Studnicki,
John W. Fisher,
Christopher N. Eichelberger,
Colleen Bridger,
Kim Angelon-Gaetz,
Debi Nelson
Publication year - 2010
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v2i3.3348
Subject(s) - analytics , computer science , online analytical processing , data science , flexibility (engineering) , event (particle physics) , software , data warehouse , population , knowledge management , data mining , medicine , statistics , physics , mathematics , environmental health , quantum mechanics , programming language
The North Carolina Comprehensive Assessment for Tracking Community Health (NC CATCH) is a Web-based analytical system deployed to local public health units and their community partners. The system has the following characteristics: flexible, powerful online analytic processing (OLAP) interface; multiple sources of multidimensional, event-level data fully conformed to common definitions in a data warehouse structure; enabled utilization of available decision support software tools; analytic capabilities distributed and optimized locally with centralized technical infrastructure; two levels of access differentiated by the user (anonymous versus registered) and by the analytical flexibility (Community Profile versus Design Phase); and, an emphasis on user training and feedback. The ability of local public health units to engage in outcomes-based performance measurement will be influenced by continuing access to event-level data, developments in evidence-based practice for improving population health, and the application of information technology-based analytic tools and methods.
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