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Publisher
Springer, Berlin, Heidelberg
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Authors: Erez Shalom Iliya Fridman Yuval Shahar Avner Hatsek Eitan Lunenfeld
Publish Date: 2012/9/3
Volume: , Issue: , Pages: 56-70
Abstract
Clinicians can benefit from automated support to guideline GL application at the point of care However several conceptual dimensions should be considered for a realistic application 1 The representation of the knowledge might be through structured text semiformal or specified in a machinecomprehensible language formal 2 The availability of electronic patient data might be partial or full 3 GLbased recommendations might be triggered by a humaninitiated synchronous session or data–driven asynchronous In addition several requirements must be fulfilled such as an evaluation of the GL application engine by a GL simulation engine Finally to apply multiple GLs by multiple users in multiple settings the GLapplication engine should be designed as an enterprise architecture that can plug into any Electronic Medical Record EMR We present an architecture fulfilling these desiderata describe application examples with different conceptual dimensions and requirements using our new GLapplication engine PICARD discuss lessons learned and briefly describe a clinical evaluation of the current framework in the domain of preeclampsia/toxemia of pregnancy
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