Collaborative health care plan support

  • Authors:

  • Ofra Amir;Barbara J. Grosz;Edith Law;Roni Stern

  • Affiliations:

  • Harvard University, Cambridge, USA;Harvard University, Cambridge, USA;Harvard University, Cambridge, USA;Harvard University, Cambridge, USA

  • Venue:
  • Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
  • Year:
  • 2013

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Abstract

This paper envisions a multi-agent system that assists patients and their health care providers. This system would support a diverse, evolving team in formulating, monitoring and revising a shared "care plan" that operates on multiple time scales in uncertain environments. It would also enhance communication of health information within this planning framework. The coordination of care for children with complex conditions (CCC), which is a compelling societal need, is presented as a model environment in which to develop and assess such systems. The design of algorithms and techniques needed to realize this vision would yield agents capable of being collaborative partners in health care delivery broadly as well as in other environments with similar properties such as rescue and rebuilding after natural disasters. This paper describes the key characteristics of collaborative health care plan support, defines a set of essential capabilities for autonomous "care-augmenting software agents", and discusses three major multi-agents systems research challenges that building such agents raises: evolving long-term plan management, enhancing team interactions, and leveraging human computation for care plan customization.