Evidence-based careflow management systems: the case of post-stroke rehabilitation
Journal of Biomedical Informatics
Journal of Biomedical Informatics
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Using model checking for critiquing based on clinical guidelines
Artificial Intelligence in Medicine
Bridging the Gap between Informal and Formal Guideline Representations
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
International Journal of Human-Computer Studies
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The success of a decision support system based on clinical practice guidelines does not only depend on the quality of the decision model used to represent and execute guideline recommendations, but also on the design of interactions of the system with the end-user interface and the electronic patient record. This paper describes technical solutions adopted to add decision support functionalities to two existing information systems for stroke patients. Despite the specific medical application, the approach is quite general, relying on two main functionalities: a real-time decision support system based on workflow technology (careflow) and an off-line tool for non-compliance detection, called “Reasoning on Medical Action” (RoMA). The integration has been developed maintaining independence between data management and knowledge management, and minimizing changes to existing user's interfaces. The paper illustrates in particular the middleware layer created to allow communication between the evidence-based system and the electronic patient record.