Article: Architecture and services for formalising and evaluating care actions from computer-interpretable guidelines Journal: International Journal of Medical Engineering and Informatics (IJMEI) 2013 Vol.5 No.3 pp.253 - 268 Abstract: Computer-interpretable guidelines (CIGs) can be understood as an alternative to deal with the various limitations of paper-based clinical guidelines and to put forward new possibilities for healthcare improvements. The effort spent in evaluating and adapting recommendations described in CIGs can be reduced if formalisation and modularisation of domain knowledge are employed. The approach presented in this paper considers that the content of CIGs and the adaptation rules are two distinct elements that need to be associated at run-time. In a first step, we propose to formalise the recommendations that are presented to healthcare professionals, named here 'care actions', in order to produce the set of elements that need to be adapted. In a second step, we exploit the medical background, defining and applying adaptation rules to generate a personalised treatment plan for the patient. The approach was applied to 21 CIGs to identify the potential and limitations of the implemented prototypes. Inderscience Publishers - linking academia, business and industry through research

Title: Architecture and services for formalising and evaluating care actions from computer-interpretable guidelines

Authors: Rodrigo Bonacin; Cédric Pruski; Marcos Da Silveira

Addresses: CTI Renato Archer and Faculty of Campo, Limpo Paulista (FACCAMP), Rodovia Dom Pedro I, Km 143.6 – 13069-901, Campinas, SP, Brazil ' CR SANTEC – Public Research Centre Henri Tudor, Av. des hauts fourneaux, L-4362, Esch-sur-Alzette, Luxembourg ' CR SANTEC – Public Research Centre Henri Tudor, Av. des hauts fourneaux, L-4362, Esch-sur-Alzette, Luxembourg

Abstract: Computer-interpretable guidelines (CIGs) can be understood as an alternative to deal with the various limitations of paper-based clinical guidelines and to put forward new possibilities for healthcare improvements. The effort spent in evaluating and adapting recommendations described in CIGs can be reduced if formalisation and modularisation of domain knowledge are employed. The approach presented in this paper considers that the content of CIGs and the adaptation rules are two distinct elements that need to be associated at run-time. In a first step, we propose to formalise the recommendations that are presented to healthcare professionals, named here 'care actions', in order to produce the set of elements that need to be adapted. In a second step, we exploit the medical background, defining and applying adaptation rules to generate a personalised treatment plan for the patient. The approach was applied to 21 CIGs to identify the potential and limitations of the implemented prototypes.

Keywords: computer interpretable guidelines; semantic web technology; clinical DSS; decision support systems; CDSS; web services; natural language processing; NLP; care actions; medical informatics; healthcare improvement; personalised treatment; patient treatment.

DOI: 10.1504/IJMEI.2013.055716

International Journal of Medical Engineering and Informatics, 2013 Vol.5 No.3, pp.253 - 268

Received: 19 Dec 2012
Accepted: 07 May 2013
Published online: 28 Jan 2014 *

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Title: Architecture and services for formalising and evaluating care actions from computer-interpretable guidelines

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