Transforming XML-based electronic patient records for use in medical case based reasoning systems.
Electronic patient records (EPR) can be regarded as an implicit source of clinical behaviour and problem-solving knowledge, systematically compiled by clinicians. We present an approach, together with its computational implementation, to pro-actively transform XML-based EPR into specialised Clinical Cases (CC) in the realm of Medical Case Base Systems. The 'correct' transformation of EPR to CC involves structural, terminological and conceptual standardisation, which is achieved by a confluence of techniques and resources, such as XML, UMLS (meta-thesaurus) and medical knowledge ontologies. We present below the functional architecture of a Medical Case-Base Reasoning Info-Structure (MCRIS) that features two distinct, yet related, functionalities: (1) a generic medical case-based reasoning system for decision-support activities; and (2) an EPR-CC transformation system to transform typical EPR's to CC.
Abidi
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Health Informatics Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Manickam
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D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D006801:Humans; D008128:Logic; D008492:Medical Informatics Computing; D016347:Medical Records Systems, Computerized; D017432:Unified Medical Language System