PATIENT JOURNEY OPTIMIZATION USING A MULTI-AGENT APPROACH

Chung-Ho Choi, William K. Cheung, Jiming Liu, Ian T. Cheung

2010

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.

References

  1. Czap, H. and Becker, M. (2003). Multi-agent systems and microeconomic theory: A negotiation approach to solve scheduling problems in high dynamic environments. In HICSS 7803: Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 3, page 83.2, Washington, DC, USA. IEEE Computer Society.
  2. Decker, K., Li, J., and Demazeau, Y. (2000). Coordinating mutually exclusive resources using gpgp. Autonomous Agents and Multi-Agent Systems, 3:200-0.
  3. Mao, X., Mors, A., Roos, N., and Witteveen, C. (2007). Coordinating competitive agents in dynamic airport resource scheduling. In MATES 7807: Proceedings of the 5th German conference on Multiagent System Technologies, pages 133-144, Berlin, Heidelberg. Springer-Verlag.
  4. Patrick, J. and Puterman, M. (2008). Reducing wait times through operations research: optimizing the use of surge capacity. Healthc Q, 11(3):77-83.
  5. Paulussen, T. O., Dept, I. S., Decker, K. S., Heinzl, A., and Jennings, N. R. (2003). Distributed patient scheduling in hospitals. In Coordination and Agent Technology in Value Networks. GITO, pages 1224-1232. Morgan Kaufmann.
  6. Robu, V., Noot, H., La Poutré, H., and van Schijndel, W.-J. (2008). An interactive platform for auction-based allocation of loads in transportation logistics. In AAMAS 7808: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems, pages 3-10, Richland, SC. International Foundation for Autonomous Agents and Multiagent Systems.
  7. Vermeulen, I., Bohte, S., Somefun, K., and La Poutre, H. (2006). Improving patient activity schedules by multiagent pareto appointment exchanging. In CEC-EEE 7806: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, page 9, Washington, DC, USA. IEEE Computer Society.
  8. Vissers, J., Bekkers, J., and Adan, I. (2005). Patient mix optimization in tactical cardiothoracic surgery planning: a case study. IMA Journal of Management Mathematics, 16.
  9. Wang, M., Liu, J., Wang, H., Cheung, W. K., and Xie, X. (2008). On-demand e-supply chain integration: A multi-agent constraint-based approach. Expert Systems with Applications, 34(4):2683 - 2692.
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Paper Citation


in Harvard Style

Choi C., K. Cheung W., Liu J. and T. Cheung I. (2010). PATIENT JOURNEY OPTIMIZATION USING A MULTI-AGENT APPROACH . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 181-186. DOI: 10.5220/0002693901810186


in Bibtex Style

@conference{healthinf10,
author={Chung-Ho Choi and William K. Cheung and Jiming Liu and Ian T. Cheung},
title={PATIENT JOURNEY OPTIMIZATION USING A MULTI-AGENT APPROACH},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={181-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002693901810186},
isbn={978-989-674-016-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - PATIENT JOURNEY OPTIMIZATION USING A MULTI-AGENT APPROACH
SN - 978-989-674-016-0
AU - Choi C.
AU - K. Cheung W.
AU - Liu J.
AU - T. Cheung I.
PY - 2010
SP - 181
EP - 186
DO - 10.5220/0002693901810186