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Observing health professionals' workflow patterns for diabetes care - First steps towards an ontology for EHR services.

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Research Division for eHealth and Telemedicine, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria.
STI - Semantic Technology Institute, University of Innsbruck, Innsbruck, Austria.


Increasing the flexibility from a user-perspective and enabling a workflow based interaction, facilitates an easy user-friendly utilization of EHRs for healthcare professionals' daily work. To offer such versatile EHR-functionality, our approach is based on the execution of clinical workflows by means of a composition of semantic web-services. The backbone of such architecture is an ontology which enables to represent clinical workflows and facilitates the selection of suitable services. In this paper we present the methods and results after running observations of diabetes routine consultations which were conducted in order to identify those workflows and the relation among the included tasks. Mentioned workflows were first modeled by BPMN and then generalized. As a following step in our study, interviews will be conducted with clinical personnel to validate modeled workflows.

[Indexed for MEDLINE]

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