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A Distributed Decision Support Architecture for the Diagnosis and Treatment of Breast Cancer

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Health Information Science (HIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10038))

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Abstract

Clinical decision support for the diagnosis and treatment of breast cancer needs to be provided for a multidisciplinary team to improve the care. The execution of clinical knowledge in an appropriate representation to support decisions, however, is typically centrally orchestrated and inconsistent with the nature and environment that specialists work together. The use of guideline language of PROforma for breast cancer has been examined with the issues raised, and an agent-oriented distributed decision support architecture is put forward. The key components of this architecture include a goal-decomposition structure (shaping the architecture), agent planning rules (individual decision-making), and agent argumentation rules (reasoning among decision options). The shift from a centralised decision support solution to a distributed one is illustrated using the breast cancer scenario and this generic approach will be applied to a wider range of clinical problems in future.

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Acknowledgment

This work is supported by National Natural Science Foundation of China (61202101) & Dept. of Health on Data Exchange Standard for Hubei Provincial Care Platform.

Author information

Authors and Affiliations

  1. Hubei University of Technology, Wuhan, Hubei, China

    Liang Xiao

  2. University of Oxford, Oxford, UK

    John Fox

Authors
  1. Liang Xiao
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  2. John Fox
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Corresponding author

Correspondence to Liang Xiao .

Editor information

Editors and Affiliations

  1. Victoria University , Melbourne, Australia

    Xiaoxia Yin

  2. Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

    James Geller

  3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Ye Li

  4. Victoria University , Melbourne, Australia

    Rui Zhou

  5. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Hua Wang

  6. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Yanchun Zhang

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© 2016 Springer International Publishing AG

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Xiao, L., Fox, J. (2016). A Distributed Decision Support Architecture for the Diagnosis and Treatment of Breast Cancer. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-48335-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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