AI planning technology as a component of computerised clinical practice guidelines

Authors:
Kirsty Bradbrook;Graham Winstanley;David Glasspool;John Fox;Richard Griffiths
Affiliations:
School of Computing, Mathematical and Information Sciences, University of Brighton;School of Computing, Mathematical and Information Sciences, University of Brighton;Advanced Computing Laboratory, Cancer Research, UK;Advanced Computing Laboratory, Cancer Research, UK;School of Computing, Mathematical and Information Sciences, University of Brighton
Venue:
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Year:
2005

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Abstract

The UK National Health Service (NHS) is currently undergoing an intensive review into the way patient care is designed, delivered and recorded. One important element of this is the development of care pathways (clinical guidelines) that provide a reasoned plan of care for each patient journey, based on locally-agreed, evidence-based best practice. The ability to generate, critique, and continually evaluate and modify plans of patient care is considered important and challenging, but in the case of computerised systems, the possibilities are exciting. In this paper we outline the case for incorporating AI Planning technology in the generation, evaluation and manipulation of care plans. We demonstrate that an integrative approach to its adoption in the clinical guideline domain is called for. The PROforma Clinical Guideline Modelling Language is used to demonstrate the issues involved.