Study on Self-Adaptive Clinical Pathway Decision Support System Based on Case-Based Reasoning

Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

To regulate medical behavior, improve medical quality and reduce health-care costs, clinical pathway is served as a standard treating model for both reducing the sources and sticking to the principles of managing the quality, which has been adopted worldwide. Thus we introduce an artificial intelligence method to meet this need which complete origin system of self-adaptive clinical pathway based on some cases inducing, give the whole framework and procedures of working, realize several key managements. Take the classified files of clinical path and electrical medical records as the origin database. Meanwhile, regard the unimplemented clinical pathways and as new cases. Then the clinical pathway can be calculated by using the above self-adaptive system based on CBR. The results are of great importance when to examining the feasibility and effectiveness of the system, determine a flexible, self-adaptive clinical pathway in the treatment process.

Keywords

Case-based reasoning (CBR) Clinical pathway (CP) Self-adaption Decision 
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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of Business AdministrationNortheastern UniversityShenyangChina
  2. 2.Xinhua Hospital Affiliated to Dalian UniversityDalianChina
  3. 3.School of Medical DevicesShenyang Pharmaceutical UniversityShenyangChina
  4. 4.School of Information Science and EngineeringNortheastern UniversityShenyangChina

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