Patient journey optimization using a multi-agent approach

Chung Ho Choi*, Kwok Wai CHEUNG, Jiming LIU, Ian T. Cheung

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

With the increasing expectation from patients and the regulations enacted by the government, exploring ways to shorten patient journey has caught increasing attention. Patient journey optimization typically involves the coordination of treatment scheduling at multiple medical units. This decentralized nature of the problem makes conventional centralized operation research methods hard to be applied and motivates the use of the multi-agent approach. In this paper, we focus on cancer patient treatment. We model patients and medical units as autonomous agents which interact locally via a bidding process and a coordination process for patient journey optimization. With reference to a dataset containing more than five thousand cancer patient journeys, the effectiveness of the proposed algorithm under different settings of implementation has been evaluated via experimental simulations.

Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Health Informatics
PublisherAssociation for Computing Machinery
Pages181-186
Number of pages6
ISBN (Print)9789896740160
Publication statusPublished - Jan 2010
Event3rd International Conference on Health Informatics, HEALTHINF 2010 - Valencia, Spain
Duration: 20 Jan 201023 Jan 2010

Publication series

NameHEALTHINF 2010 - 3rd International Conference on Health Informatics, Proceedings

Conference

Conference3rd International Conference on Health Informatics, HEALTHINF 2010
Country/TerritorySpain
CityValencia
Period20/01/1023/01/10

Scopus Subject Areas

  • Health Informatics
  • Health Information Management

User-Defined Keywords

  • Health information systems
  • Multi-agent systems
  • Patient journey optimization
  • Scheduling algorithms

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