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Data Access Framework (DAF) IHE

Data Access Framework (DAF) IHE. September 30, 2013. John Feikema Coordinator, Standards & Interoperability Framework Office of the National Coordinator for Health IT. Data Access Framework Problems to Solve. Data Portability Patient moving from one provider to a new provider

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Data Access Framework (DAF) IHE

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  1. Data Access Framework (DAF)IHE September 30, 2013 John Feikema Coordinator, Standards & Interoperability Framework Office of the National Coordinator for Health IT

  2. Data Access FrameworkProblems to Solve • Data Portability • Patient moving from one provider to a new provider • Quality Improvement • A need for customized “small data analytics” for quality improvement • NwHIN/Targeted Query • Remote “chart pulls” • Public Health • Common framework needed

  3. Background to Data Access Framework (DAF) • BlueButton initiatives enabled patients to access to their own data • DAF is a similar concept, except it is focused on enabling providers to access their patient’s data both within and across organizations • Current industry standards are not modular enough to allow the different types of data access desired by Providers. We need to be able to support: • document and data element based access • patient and population level based access • data access based on quality measures • multiple transport protocols • etc. depending on the user story

  4. DAF – Challenges • Data Access Framework has to support a wide variety of user stories (samples illustrated below)

  5. What is DAF? • DAF will identify/create/modify standards to solve basic data access issues faced by providers • within their own organization and across organizations in a modular and substitutable fashion. • DAF is focused on enabling providers, their tools and applications to access their patient’s data • Through new or modified standards DAF will allow providers to use new and innovative applications • improve and fill gaps (such as medication tracking, long term care needs) in patient care

  6. DAF – Modularity • To support the various user stories and access mechanisms there is a need to create a modular and substitutable framework that can evolve with the industry over time: • Modular framework can be best visualized as a stack of standards with multiple layers independent of each other • Substitutable standards will provide the ability to replace standards for a single layer and reuse standards from the other layers Data Model to support queries Information Models Result Vocabularies and Value Sets Query Results Result Structure Query Vocabularies and Value Sets Query Structure Query Structure Authentication/Authorization Security Layer Application Transport Protocols Transport Layer Basic Transport Protocols Data Access Framework

  7. DAF – Substitutability Data Model to support queries Information Models Result Vocabularies and Value Sets C-CDA HL7 v2.5.1 QRDA I, II, III Query Results Result Structure HL7 FHIR Query Vocabularies and Value Sets HL7 v2.5.1 Query Structure ebRIM/ebRS HL7 FHIR HL7 HQMF Query Structure Authentication/Authorization TLS+SAML TLS+OAuth2 S/MIME Security Layer Application Transport Protocols MU2 ModSpec RTM SOAP (IHE SOAP) RESTful (IHE mHealth) Direct Transport Layer Basic Transport Protocols HTTP SMTP Data Access Framework Initial Candidate Standards

  8. DAF – Overall Context Data AccessFramework Local Access via Intra-Organization Query Multiple Data Source Access via Distributed Query (Query Health) – Completed Initiative Targeted Access via Inter-Organization Query • Create and disseminate queries to external • organization • Query Structure Layer • Transport Layer • Authentication/Authorization Layer • Receive standardized responses from external orgs • Query Results Layer • Create and disseminate queries to multiple orgs • Governed by a network • Receive aggregated or de-identified responses • Focus on Information Model for the network and • leverage standards from earlier phases. • Create and disseminate queries internal to • organization • Query Structure Layer • APIs • Receive standardized responses • Query Results Layer X Hospital System Y Hospital System Data Source Data Source Data Source X Hospital System Query Request Query Response Standards based approach to enable access at all levels: Local, Targeted, and Distributed

  9. DAF – Scope • The work of this initiative will be done in 2 phases: • Phase 1 is focused on Local Access via Intra Organization Query • Phase 2 is focused on Targeted Access via Inter Organization Query • The following capabilities are In-Scope: • Define the modular layers for Data Access Framework to support identified business and functional requirements. • Identify the existing standards that can be used for each layer of the Data Access Framework including guidance for substitutability of standards for both Local Access and Targeted Access. • Define Implementation Guides leveraging existing standards where necessary to structure queries and query results for identified business and functional requirements. • Identify/modify/create standardized APIs that allow applications to query data in a consistent manner across EHRs. • We will work with the Federal Advisory Committees and Office of Policy and Planning to coordinate policy issues

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