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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Integrated Process and Data Management for Healthcare Applications

Integrated Process and Data Management for Healthcare Applications
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Author(s): Stefan Jablonski (University of Bayreuth, Germany), Rainer Lay (ProDatO Integration Technology GmbH, Germany), Christian Meiler (ProDatO Integration Technology GmbH, Germany), Matthias Faerber (University of Bayreuth, Germany), Bernhard Volz (University of Bayreuth, Germany) and Sebastian Dornstauder (University of Bayreuth, Germany)
Copyright: 2009
Pages: 22
Source title: Medical Informatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-60566-050-9.ch166

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Abstract

Healthcare applications are demanding with respect to their IT needs. Due to their complexity they need strong IT support which must provide enough freedom to their users in the medical domain because of the high degree of flexibility required by them. We have chosen a process based technology, called data logistics, which can cope with these almost conflicting requirements. Data logistics is based on clinical processes. However, when data logistics processes are executed, this happens transparently to the users and provides them a huge degree of freedom in determining the sequence of process execution. In order to cope with these challenging features, the process execution environment for data logistics processes is generated according to our model driven development approach called process driven architecture (PDA). Several clinical studies illustrate the feasibility, effectiveness, and efficiency of the data logistics approach. This article both exposes the rationale of the data logistics approach and provides a deep inside into the implementation concepts.

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