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Data Access Framework (DAF) HL7

Data Access Framework (DAF) HL7. September 2013. John Feikema Coordinator, Standards & Interoperability Framework Office of the National Coordinator for Health IT. Agenda. Initiative Introduction Data Access Framework Initiative History Importance Scope Expected Outcomes Timeline

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Data Access Framework (DAF) HL7

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  1. Data Access Framework (DAF)HL7 September 2013 John Feikema Coordinator, Standards & Interoperability Framework Office of the National Coordinator for Health IT

  2. Agenda • Initiative Introduction • Data Access Framework Initiative • History • Importance • Scope • Expected Outcomes • Timeline • Questions & Answers

  3. S&I Framework Phases & Data Access Framework (DAF)Activities

  4. 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 • NwHIN targeted and distributed queries • Multiple ONC initiatives Query Health, Innovation projects identified multiple data access challenges within and across organizations

  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. 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

  7. DAF - Example Real World Scenarios • A provider wants to access data about a particular population within his/her practice using quality measures • For example the provider wants to know all diabetic patients with HbA1c > 7% within their organization • A provider wants to access the complete medical history of a patient to improve care and use new tools and applications to improve care • Tools include predictive modeling, comparison with existing data sets etc. • Enable applications such as Medication Adherence and Tracking to be used by patients and care givers. • Enable social workers and other care givers to consume the patient information and determine the next steps in providing care. These may include determining what kind of long term care facility best suits the patient based on their demographics, diagnosis, medications etc. • Build an Extraction capability (such as an API) from EMRs

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

  9. 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

  10. DAF – Substitutability Data Model to support queries Information Models Result Vocabularies and Value Sets Query Results C-CDA HL7 v2.5.1 QRDA I, II, III Result Structure Query Vocabularies and Value Sets 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

  11. Subway™ can do it! Condiment Layer Mayo Ranch Mustard Information Models Result Vocabularies and Value Sets Veggie Layer Lettuce Tomatoes Onions Result Structure Query Vocabularies and Value Sets Cheese Layer Swiss Cheddar Monterey Jack Query Structure Authentication/Authorization Ham Turkey Roast Beef Pastrami Meat Layer Application Transport Protocols Italian 9 Grain Wheat 9 Grain Honey Oat Bread Layer Basic Transport Protocols Italian Herbs and CHeese Build your own Sub

  12. 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

  13. 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 standardized APIs that allow applications to query data in a consistent manner across EHRs. • We will work with the FACAs and OPP to coordinate policy issues

  14. Data Access Framework Wiki Page http://wiki.siframework.org/Data+Access+Framework+Homepage Data Access Framework Wiki Page

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