Better Knowledge for Better Health Services: Discovering Guideline Compliance

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Author(s): Stefano De Luca (Evodevo s.r.l., Italy)and Enrico Memo (Ca’ Foscari University, Italy)
Copyright: 2009
Pages: 23
Source title: Social and Political Implications of Data Mining: Knowledge Management in E-Government
Source Author(s)/Editor(s): Hakikur Rahman (University of Minho, Portugal)
DOI: 10.4018/978-1-60566-230-5.ch005

Keywords: Data Mining / Electronic Government / Information Science Reference / Library & Information Science

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Abstract

The expenses in Health Care are an important portion of the overall expenses of every country, so it is very important to determine if the given cares are the right ones. This work is about a methodology, Health Discoverer, and a consequent software, aimed to disease management and to the measure of appropriateness of cares, and in particular is about the data mining techniques used to verify Clinical Practice Guidelines (CPGs) compliance and the discovery of new, better guidelines. The work is based on Quality Records, episode parsing using Ontologies and Hidden Markov Models.

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