30 research outputs found

    Enabling reasoning on the web: Performing simulations of clinical situations

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    The transformation of a document-based medical guideline into a computer-based decision support is a time-consuming and error-prone activity. One way to alleviate this burden is by facilitating, as much as possible, the (semi)automatic implementation and further validation of the knowledge intensive tasks embedded within medical guidelines. This paper presents a bilingual (English and Spanish) “proof of concept” simulation framework and computational test-bed, called V.A.F. Framework, that takes advantages of both CommonKADS methodology and Semantic Web technologies (OWL, SWRL, and OWL-S) to enable experiments (simulations of clinical situations) that allow overcoming the main barriers to successfully express medical guidelines in an executable form compatible with Electronic Medical Records (EMRs).To demonstrate how higher integration between EMRs and evidence-based medicine can be accomplished, this paper focuses on the “Acute Red Eye”, a clinical ophthalmologic domain known by General Practitioners (GPs) that usually requires the intervention of ophthalmologists (specialised physicians), so medical referral guidelines as well as ophthalmology medical guidelines need to be codified and integrated with EMRs
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