Knowledge-Driven adaptive execution of care pathways based on continuous planning techniques

  • Authors:
  • Gonzalo Milla-Millán;Juan Fdez-Olivares;Inmaculada Sánchez-Garzón;David Prior;Luis Castillo

  • Affiliations:
  • Dpto. de Ciencias de la Computación e I.A., Universidad de Granada, Spain;Dpto. de Ciencias de la Computación e I.A., Universidad de Granada, Spain;Dpto. de Ciencias de la Computación e I.A., Universidad de Granada, Spain;Dpto. de Ciencias de la Computación e I.A., Universidad de Granada, Spain;IActive Intelligent Solutions, Granada, Spain

  • Venue:
  • BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
  • Year:
  • 2012

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Abstract

Care pathways are excellent tools for the standardization of care delivery and the improvement of clinical efficiency. The high dynamism and unpredictability of the clinical environment require pathways to be adaptable to the deviations that may arise during their execution. In this work we present a methodology for the identification, monitoring, detection and managing of these deviations. Such deviations include evolving patient conditions, arbitrary medical modifications and unpredicted clinical settings. The care pathways are dynamically generated based on a knowledge-driven planning process that personalizes treatments according to up-to-date patient conditions and guarantees adherence to clinical guidelines recommendations. The implementation of the proposed methodology in a domain-independent continuous planning architecture is presented.