Knowledge Representation for Prognosis of Health Status in Rehabilitation

Laia Subirats, Luigi Ceccaroni and Felip Miralles
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Laia Subirats: Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain
Luigi Ceccaroni: Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain
Felip Miralles: Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, MediaTIC Building, 08018 Barcelona, Spain

Future Internet, 2012, vol. 4, issue 3, 1-14

Abstract: In this article, key points are discussed concerning knowledge representation for clinical decision support systems in the domain of physical medicine and rehabilitation. Information models, classifications and terminologies, such as the “virtual medical record” (vMR), the “international classification of functioning, disability and health” (ICF), the “international classification of diseases” (ICD) and the “systematized nomenclature of medicine—clinical terms” (SNOMED CT), are used for knowledge integration and reasoning. A system is described that supports the measuring of functioning status, diversity, prognosis and similarity between patients in the post-acute stage, thus helping health professionals’ prescription of recommendations.

Keywords: representation methods; clinical decision support systems; knowledge systems; rehabilitation; information models; classifications; terminologies (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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