Exploring of the Integration Design Method of Rectal Prolapse TCM Clinical Pathway System

  • Zhihui Huang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


This paper advocates the use of expert system and evidence-based medicine in the traditional Chinese medicine (TCM) clinical pathway system. It proposes an intelligent multi-agent reconfigurable system to cope with a dynamic traditional Chinese medicine environment where support the rectal prolapse clinical pathways system application integration in the face of the clinical medical decision-making existing more uncertainty field. An integration design method of rectal prolapse TCM clinical pathway system is through the use of design rules which are based on empirical and theoretical knowledge. Based on case reasoning medical expert system for improvement and regulating rectal prolapse clinical pathway system are presented. The relationship between the design for clinical path information system and expert system and analysis of system reliability growth test platform is discussed.


Clinical pathway system integration Expert system TCM surgery 


  1. 1.
    Gabriel R, Lux T (2010) Modelling and decision support of clinical pathways. In: Kostkova P (ed) Electronic healthcare-second international ICST conference, vol 27. ehealth, Istanbul, pp 147–154Google Scholar
  2. 2.
    Inokuchi A, Takeda K, Inaoka N, Wakao F, MedTAKMI-CDI (2007) Interactive knowledge discovery for clinical decision intelligence. IBM Syst J 46(1):115–133Google Scholar
  3. 3.
    Rani P, Reddy R, Mathur D, Bandyopadhyay S, Laha (2011) A compositional information extraction methodology from medical reports. In: 2011, database systems for advanced applications-16th international conference, DASFAA 2011, Proceedings, vol 6588(2), pp 400–412Google Scholar
  4. 4.
    Chen B, Lin D, Kong C et al (2011) Establishment and preliminary assessment of traditional chinese medical clinical pathway for cervical spondylotic radiculopathy. J Guangzhou Univ Tradit Chin Med 02 Google Scholar
  5. 5.
    Newsham AC et al (2011) Development of an advanced database for clinical trials integrated with an electronic patient record system. Comput Biol Med 41(8):575–586Google Scholar
  6. 6.
    Miller RA, Pople HE, Myers JD (1982) Internist-I: an ex-perimental computer-based diagnostic consultant for general internal medicine. N Engl J Med 307(8):468–476Google Scholar
  7. 7.
    Abas H, Mohd Y, Mohd N, Shahrul A (2011) The application of ontology in a clinical decision support system for acute postoperative pain management. In: 2011 international conference on semantic technology and information retrieval, STAIR, pp 106–112Google Scholar
  8. 8.
    Albus JS (2010) A model of computation and representation in the brain. Inf Sci 180(9):1519–1554CrossRefGoogle Scholar
  9. 9.
    Åström KJ (2011) A perspective on modeling and simulation of complex dynamical systems. In: Proceedings of SPIE 8336, integrated modeling of complex optomechanical systems, vol 8336Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Fujian University of Traditional Chinese MedicineFuzhouChina

Personalised recommendations