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Suggested Citation

Kaiser, C. (2008): Case Based Reasoning for Customizing Treatment Processes. In: Lazakidou, A. A., Siassiakos, K. M. (Eds.): Handbook of Research on Distributed Medical Informatics and E-Health. Medical Information Science Reference, USA. https://www.igi-global.com/book/handbook-research-distributed-medical-informatics/458

Year

2008

Authors
Dr. Carolin Kaiser
Publication title
Case Based Reasoning for Customizing Treatment Processes
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Case Based Reasoning for Customizing Treatment Processes

Abstract

This chapter introduces a case based reasoning (CBR) system for customizing treatment processes. The CBR system enables the generating of inpatient and outpatient treatment processes and the supporting of e-services in heath care networks individually customized to the patients’ needs. According to the CBR paradigm, which solves problems based on past experience, the proposed system uses old treatment processes of similar former patients and modifies them for new patients. In general, CBR is an established and well suited artificial intelligence method to support medical decision making. However, CBR systems capable of planning treatment processes by adapting old treatment processes to fit new patients are rare. The aim of this system is to increase the treatment quality of the patient by providing physicians with valuable treatment propositions and to contribute to the development of medical CBR Systems by introducing procedures enabling the generating of new treatment processes by modifying former treatment processes.

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Dr. Carolin Kaiser

Head of Artificial Intelligence

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