Clinical medicine and health-care developments in recent years testified a tremendous increase in the\udnumber of available guidelines, i.e., ‘‘best practices’’ encoding and standardizing care procedures for a\udgiven disease. Clinical guidelines are subject to continuous development and revision by committees\udof expert physicians and health authorities and, thus, multiple versions coexist as a consequence of\udthe clinical and healthcare activities. Moreover, several alternatives are usually included in order to make\udthe guidelines as general as possible, making them difficult to handle both in manual and automated\udfashions. In this work, we will introduce techniques to model and to provide efficient personalized access\udto very large collections of multi-version clinical guidelines, which can be stored both in textual and in\udexecutable format in an XML repository. In this way, multiple temporal perspectives, patient profile\udand context information can be used by an automated personalization service to efficiently build on\uddemand a guideline version tailored to a specific use case.
展开▼
