Increase treatment quality is the most challenging task because clinical status of the patient and circumstances inside a healthcare organization constantly change. In this paper we present a Rule based Exception handling and Priority modeling (REP) framework which aims at providing a solution for diabetes management. However, this functionality is a major requirement for next generation systems in order to deal with more exceptions at a time. The proposed framework explains about how to manage resources and activities during diabetes management. The exceptions are detected with the help of rule interpreter and rule base. The hospital workflow system is assisted by the semantic technologies, which utilize ontology to describe the required knowledge. At the time of monitoring, if any exceptions arise, the system reasons over the constructed Semantic Web Rule Language (SWRL) rules and provide decisions for the next step of the treatment. In order to provide treatment flow for the known cases, the adaptation results and patient information are stored on Electronic health record.