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NC CATCH: Advancing Public Health Analytics
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; mult...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615769/ https://www.ncbi.nlm.nih.gov/pubmed/23569592 http://dx.doi.org/10.5210/ojphi.v2i3.3348 |
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author | Studnicki, James Fisher, John W. Eichelberger, Christopher Bridger, Colleen Angelon-Gaetz, Kim Nelson, Debi |
author_facet | Studnicki, James Fisher, John W. Eichelberger, Christopher Bridger, Colleen Angelon-Gaetz, Kim Nelson, Debi |
author_sort | Studnicki, James |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3615769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | University of Illinois at Chicago Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-36157692013-04-08 NC CATCH: Advancing Public Health Analytics Studnicki, James Fisher, John W. Eichelberger, Christopher Bridger, Colleen Angelon-Gaetz, Kim Nelson, Debi Online J Public Health Inform Articles 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. University of Illinois at Chicago Library 2010-12-23 /pmc/articles/PMC3615769/ /pubmed/23569592 http://dx.doi.org/10.5210/ojphi.v2i3.3348 Text en ©2010 the author(s) http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/ojphi/about/submissions#copyrightNotice This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. |
spellingShingle | Articles Studnicki, James Fisher, John W. Eichelberger, Christopher Bridger, Colleen Angelon-Gaetz, Kim Nelson, Debi NC CATCH: Advancing Public Health Analytics |
title | NC CATCH: Advancing Public Health Analytics |
title_full | NC CATCH: Advancing Public Health Analytics |
title_fullStr | NC CATCH: Advancing Public Health Analytics |
title_full_unstemmed | NC CATCH: Advancing Public Health Analytics |
title_short | NC CATCH: Advancing Public Health Analytics |
title_sort | nc catch: advancing public health analytics |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615769/ https://www.ncbi.nlm.nih.gov/pubmed/23569592 http://dx.doi.org/10.5210/ojphi.v2i3.3348 |
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