An HL7-Aware Decision Support System for E-Health

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Author(s): Pasquale De Meo (Università degli Studi Mediterranea di Reggio Calabria, Italy)
Copyright: 2009
Pages: 14
Source title: Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch037

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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Abstract

In this chapter we present an information system conceived for supporting managers of Public Health Care Agencies to decide the new health care services to propose. Our system is HL7-aware; in fact, it uses the HL7 (Health Level Seven) standard (Health Level Seven [HL7], 2007) to effectively handle the interoperability among different Public Health Care Agencies. HL7 provides several functionalities for the exchange, the management and the integration of data concerning both patients and health care services. Our system appears particularly suited for supporting a rigorous and scientific decision making activity, taking a large variety of factors and a great amount of heterogeneous information into account.

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An HL7-Aware Decision Support System for E-Health

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