The aim of the thesis is to develop algorithm which will be able to optimize roles using RBAC model. The intent of the theoretical part is to analyze RBAC model and present current options which are available for role optimization. The practical part deals with development of algorithm which allows to optimize roles based on defined criteria from user. This algorithm is implemented in programming language Java and builds on Role Process Optimization Model (ROPM). In the last part is showed on example set of data how this algorithm works, step by step, with explanation of each step. Result of this algorithm is new RBAC model defined by user criteria. In this thesis are also listed different approach in role optimization, possible future development and concept of mapping RBAC model to mathematical and data-mining techniques.

This study seeks to understand how collaborative information communication technologies (cICT) are used to support knowledge translation and optimize physician’s roles in chronic pain management. A survey was developed and distributed to 170 physicians in two chronic pain mentoring networks in Ontario and Nova Scotia. With a response rate of 74.1% the study identified the use of a broad variety of cICTs; with email as the most used. A majority of respondents (85.0%) used email to support discussions and 69.8% found it to be valuable in learning about chronic pain management. A higher frequency of email (adjusted OR=10.70, 95% CI: 2.84-40.33) and number of cICTs (adjusted OR=2.93, 95% CI: 1.19-7.21) used to communicate in the networks were associated with more interactions. These results highlight how cICTs can support the interactions and learning that are part of the knowledge translation process in optimizing the roles of physicians in chronic pain management.

This study seeks to understand how collaborative information communication technologies (cICT) are used to support knowledge translation and optimize physician’s roles in chronic pain management. A survey was developed and distributed to 170 physicians in two chronic pain mentoring networks in Ontario and Nova Scotia. With a response rate of 74.1% the study identified the use of a broad variety of cICTs; with email as the most used. A majority of respondents (85.0%) used email to support discussions and 69.8% found it to be valuable in learning about chronic pain management. A higher frequency of email (adjusted OR=10.70, 95% CI: 2.84-40.33) and number of cICTs (adjusted OR=2.93, 95% CI: 1.19-7.21) used to communicate in the networks were associated with more interactions. These results highlight how cICTs can support the interactions and learning that are part of the knowledge translation process in optimizing the roles of physicians in chronic pain management.