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Approaches and Tools to Optimize and Manage Clinical Processes

Approaches and Tools to Optimize and Manage Clinical Processes

Rainer Herrler, Christian HeIne
Copyright: © 2007 |Pages: 27
ISBN13: 9781599042657|ISBN10: 1599042657|ISBN13 Softcover: 9781599042664|EISBN13: 9781599042671
DOI: 10.4018/978-1-59904-265-7.ch003
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MLA

Herrler, Rainer, and Christian HeIne. "Approaches and Tools to Optimize and Manage Clinical Processes." Application of Agents and Intelligent Information Technologies, edited by Vijayan Sugumaran, IGI Global, 2007, pp. 39-65. https://doi.org/10.4018/978-1-59904-265-7.ch003

APA

Herrler, R. & HeIne, C. (2007). Approaches and Tools to Optimize and Manage Clinical Processes. In V. Sugumaran (Ed.), Application of Agents and Intelligent Information Technologies (pp. 39-65). IGI Global. https://doi.org/10.4018/978-1-59904-265-7.ch003

Chicago

Herrler, Rainer, and Christian HeIne. "Approaches and Tools to Optimize and Manage Clinical Processes." In Application of Agents and Intelligent Information Technologies, edited by Vijayan Sugumaran, 39-65. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-265-7.ch003

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Abstract

There are several continuing challenges within the health-care domain. On the one hand, there is a greater need for individualized, patient-oriented processes in diagnostics, therapy, nursing, and administration; and on the other hand, hospitals have extremely distributed decision processes and strong local (individual) autonomy with a high degree of situational dynamics. This research focuses on how to optimize processes in hospitals by using agent-based simulation and agent-based information systems that can substantially increase the efficiency of hospital process management. In particular, we describe a methodology for optimization; the ingredients of the simulation and the architecture of a management system; and the integration of existing FIPA, DICOM, and HL7 standards. We discuss example scenarios to show how simulation can improve distributed scheduling and how agent-based systems can be used to manage “clinical trials.” This research is part of the German Priority Research Program (SPP) 1083 “Intelligent Agents and their application in business scenarios.”

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