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Knowledge-based clinical pathway for medical quality improvement

Author

Listed:
  • Hongqiao Yang

    (Hospital 309 of People’s Liberation Army)

  • Weizi Li

    (Beijing Institute of Technology)

  • Kecheng Liu

    (Beijing Institute of Technology
    University of Reading)

  • Junping Zhang

    (Carefx Corporation)

Abstract

Clinical pathways have been adopted for various diseases in clinical departments for quality improvement as a result of standardization of medical activities in treatment process. Using knowledge-based decision support on the basis of clinical pathways is a promising strategy to improve medical quality effectively. However, the clinical pathway knowledge has not been fully integrated into treatment process and thus cannot provide comprehensive support to the actual work practice. Therefore this paper proposes a knowledge-based clinical pathway management method which contributes to make use of clinical knowledge to support and optimize medical practice. We have developed a knowledge-based clinical pathway management system to demonstrate how the clinical pathway knowledge comprehensively supports the treatment process. The experiences from the use of this system show that the treatment quality can be effectively improved by the extracted and classified clinical pathway knowledge, seamless integration of patient-specific clinical pathway recommendations with medical tasks and the evaluating pathway deviations for optimization.

Suggested Citation

  • Hongqiao Yang & Weizi Li & Kecheng Liu & Junping Zhang, 2012. "Knowledge-based clinical pathway for medical quality improvement," Information Systems Frontiers, Springer, vol. 14(1), pages 105-117, March.
    • Handle: RePEc:spr:infosf:v:14:y:2012:i:1:d:10.1007_s10796-011-9307-z
    DOI: 10.1007/s10796-011-9307-z
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    References listed on IDEAS

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    1. Joseph Barjis & Ashish Gupta & Ramesh Sharda, 2011. "Knowledge work and communication challenges in networked enterprises," Information Systems Frontiers, Springer, vol. 13(5), pages 615-619, November.
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    Cited by:

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    2. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
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    4. Mamoun T. Mardini & Zbigniew W. Raś, 2022. "Discovering Primary Medical Procedures and their Associations with Other Procedures in HCUP Data," Information Systems Frontiers, Springer, vol. 24(1), pages 133-147, February.

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