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Role of the HL7 Security and Privacy Ontology in HL7 Artifacts

Role of the HL7 Security and Privacy Ontology in HL7 Artifacts. Kathleen Connor VA (ESC) HL7 Security WG March 6, 2012. Use of Security and Privacy Ontology.

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Role of the HL7 Security and Privacy Ontology in HL7 Artifacts

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  1. Role of the HL7 Security and Privacy Ontology in HL7 Artifacts Kathleen Connor VA (ESC) HL7 Security WG March 6, 2012

  2. Use of Security and Privacy Ontology • Authoring, adjudication, and enforcement of security and privacy policies within and among enterprises as well as across multiple jurisdictional boundaries requires the use of rigorously defined privacy and security terminologies and the semantic structures by which they are conveyed

  3. HL7 Security and Privacy Ontology • The HL7 Security and Privacy Ontology is a domain specific Conceptual Data Model structured as an ontology rather than a UML model • The Ontology plays a pivotal role as the “source of truth and logical soundness” for HL7 Security and Privacy artifacts, and is available for use by other SDOs

  4. Scope of Use • Managing S&P Terminologies and validating their correct use within semantic structures requires that these be organized within an ontology • Particularly important for complex machine readable rules used to automate privacy and security policies and the numerous models underlying the manner in which these are structured

  5. S&P Terminology Service • Terminology services implementing S&P Ontology are critical components for: • Security Access Control Systems • EHR Data Segmentation • Compliant Disclosure, Exchange, and Receipt of Protected Information • Privacy Policy Administration Systems • Consent Directive Management Systems

  6. What is the S&P Ontology? • Identifies and defines OWL classes and interrelationships for key security and privacy concepts • Enables computable and interoperability policies • Prerequisite to implementations that protect sensitive health information • Design Time uses • Policy authoring • Validation of completeness and consistency • Run Time uses • Policy Adjudication (resolving multiple policies that may conflict) • Policy Bridging (using governance to manage rules from differing policy contexts) • Policy Decisions

  7. Ontological Relationships Change Semantics • For example, a security systems may deploy both role-based and rule-based access control policies • Each uses the same terminology, e.g., for structural roles, but with different associations to other classes within the policy. • Under the role-based access control policy, a structural role may have a higher priority in the policy decision adjudication than it has in the rule-based access control decision adjudication where the sensitivity attributes of the user has precedence over the user’s structural role • ISO/IEC 10181-3:1996 Information technology -- Open Systems Interconnection

  8. Normative Ballot Track • The HL7 Security Work Group intends to ballot the Security and Privacy Ontology as a normative standard • Conformance criteria include use as • The Security and Privacy Conceptual Data Model for all of the HL7 v.3 security and privacy artifacts • Source of logical definition for HL7 Security and Privacy vocabularies • For use by privacy and security system implementers as a Security and Privacy Terminology Service in accordance with the HL7 Common Terminology Service R2 conformance criteria

  9. Tony Weida’s Report on Security and Privacy OntologyFrom HL7 San Antonio WGM Jan 2012

  10. So Much More than a Vocabulary

  11. HL7 Security and Privacy Artifacts Leveraging the S&P Ontology Background

  12. HL7 Security and Privacy Artifacts • Role Based Access Control (RBAC) Healthcare Permission Catalog • Permission, operation, object, workflow, privacy and security policy types, consent directive type, obligation, refrain, constraint, structural and functional role vocabularies

  13. HL7 Version 3 Domain Analysis Model: Security, Release 1 • The DAM provides the basis for semantic content for HL7 v.3 Security and Privacy related artifacts • S&P Ontology reflects the DAM’s semantic content requirements as a highly structured, comprehensive, and logically consistent set of terminologies that specifies interrelationship of concepts. This is critical for authoring, adjudicating, and enforcing machine readable privacy and security policies and patient consent directives

  14. Consent Directive CDA • HL7 Implementation Guide for Clinical Document Architecture, Release 2: Consent Directives, DSTU Release 1 • Provides support for alternative representations for expressing health information privacy consent directives in a standard form for the exchange of privacy policies that can be enforced by consuming systems (e.g., scanned documents, computable structured entries) • Supports sending a computable representation of privacy consent directives using structured entries based on a mapping of the HL7 Version 3 Domain Analysis Model: Medical Records; Composite Privacy Consent Directive, Draft Standard for Trial Use (DSTU) Release 2 (CPCD DAM) to HL7 RIM attributes, or by using standard access control markup languages (XACML, XrML and others) • It is expected that other SDOs will use the Privacy domain analysis model to create profiles (e.g., OASIS Cross-Enterprise Security and Privacy Authorization (XSPA) Technical Committee) and that for encoding capabilities, formal policy languages will be used

  15. PASS • Privacy, Access and Security Services (PASS), Access Control Services, Conceptual Model, Release 1.0 • Draft Standard for Trial Use Ballot,HL7 Version 3 Standard: Privacy, Access and Security Services (PASS) - Audit, Conceptual Level, Release 1

  16. PASS Architecture FrameworkSAEAF-compliant • Encompasses domain analysis models, domain information models, essential service components and supporting vocabularies for authentication, authorization and audit services required by a health information network • Support other HL7 working groups by specifying security/privacy functional capabilities that are exposed through well-defined service interfaces

  17. PASS Capabilities and Interfaces Could Invoke a Security and Privacy Ontology Terminology Service • AC2-2: Support the capability to switch preplanned profiles of policy sets based upon purpose of use • AC2-3: Enforce security and privacy policy based on contextual, action, target or initiator access control decision information • AC2-9: Support exchange of security and privacy policy documents with other access control service • AC2-10: Support enforcement of nested policy sets • AC2-11: Respond to a request for a machine-readable policy document from another service.

  18. PASS Semantic Signifiers (Normative) • A semantic signifier is used to specify constraints on the information constructs that serve as payloads within service operations • It is the identification of a named set of information descriptions that are supported by one or more operations • The reference points for associated conformance statements occur at the computational model interface where the semantic signifier is specified as an input or output required by the contract

  19. HL7 V3 Data Consent Messages • HL7 Version 3 Data Consent Model RCMR_RM010001UV01 • Consent Class, ActConsentType, Override Reasons, Purpose of Use, Functional and Structural Roles, Context codes, Record Type, Information Access Codes • HL7 Version 3 Shared Secret Model RCMR_RM010002UC01 • ActConsentType, Record Type, Functional and Structural Roles, Information Access Codes

  20. HL7 V.2 Security and Privacy • HL7 Version 2 Chapter 9 Privacy Consent Directive Segment • HL7 Version 2 Code Tables • WG Project 874: • V2 code table versioning and alignment to V3 vocabulary model to migrate HL7 v2 code tables to HL7 v3 vocabulary where beneficial, i.e., where vocabulary is more comprehensive, consistent, and better structured.

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