1. Medical Roles/Permissions Ontology Ping Wang Tetherless World Constellation Rensselaer Polytechnic Institute

2. Outline Introduction Research question Approach Related Work Status Hope to learn

3. Introduction Health information technology can allow clinicians to have real-time access to complete patient data, and provide them with support to make the best possible decisions. [1] The impact of IT on healthcare has so far been modest. [1] http://www.cahealthit.com/

4. Research question Achieve fine-grained control of EHRs (Electronic Health Record) via semantic technologies –Fine-grained: roles, the permissions of roles vary from time/place to time/place –Semantic technologies: ontology, reasoner, triple-store

5. Approach 1. Survey related works 2. Use Case Design 3. Categorize and assimilate data 4. Design the architecture of the system and the ontologies needed 5. Implementation of the system 6. Evaluate the system

6. Related Work 1: ROWLBAC [2] ROWLBAC - Representing Role Based Access Control in OWL Two different ways to support the RBAC(Role Based Access Control) model in OWL. Approach 1: Roles as Classes Approach 2: Roles as Values

7. Advantage of approach1 –queries about a particular access request and queries about a general class of access requests can be answered efficiently using a standard DL reasoner Advantage of approach2 –the specification is simpler and more concise

8. Related Work 2: An Analysis of Roles [3] Gives a broad scope of roles –Roles in ontologies, –ER (Entity Relationship) Modeling, –Object Oriented Modeling, –Agent Oriented Modeling, –Object Process Methodology Roles VS classes, entities, responsibilities/functions, positions

9. A context-Centered Approach to Roles A application: roles in SOP (Standard Operating Procedures) –The sop is for professionals involved in carrying out clinical trials

10. Related Work 3: RIM [4] RIM (Reference Information Model) from HL7 –a large, pictorial representation of the HL7 clinical data (domains) –identifies the life cycle that a message or groups of related messages will carry –a shared model between all domains –the model from which all domains create their messages

12. Critiques –Unclarity: "Act" –Where are diseases –HL7 datastores inaccessible to the DL- based reasoners because of the many ‘flavors of null’.

13. Status Have done partial survey Next steps: –Continue the survey –Determine the scope of the project

14. Hope to learn Knowledge modeling via ontologies Data access rules about HER More semantic technologies: –rdf, owl, jena, pellet

15. Reference [1] President's Council of Advisors on Science and Technology (PCAST) Health Information Technology Report [2] T. Finin, A. Joshi, L. Kagal, J. Niu, R. Sandhu, W. Winsborough, and B. Thuraisingham, ROWLBAC - Representing Role Based Access Control in OWL, Proceedings of the 13th ACM symposium on Access Control Models and Technologies, ACM Press New York, June 2008. [3] F. Loebe. An analysis of roles. Technical Report 6, Research Group Ontologies in Medicine, University of Leipzig, 2003. Onto- Med Report. [4] http://www.hl7.org/implement/standards/rim.cfm [5] Barry Smith. Ontology Research Group, Buffalo. HL7 RIM.

16. Thank you! Questions?