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Rafael Richards MD MS 2014-08 
Linked 
Vitals 
Linked Vitals 
SemTech Conference 
San Jose, CA 
August 20, 2014 
Rafael M ...
Rafael Richards MD MS 2014-08 
Linked 
Vitals 
Problem Statement: General 
How do we integrate data such as vital signs 
m...
Rafael Richards MD MS 2014-08 
Linked 
Vitals 
Problem Statement: Specific 
How do we integrate vital signs between VistA ...
Rafael Richards MD MS 2014-08 
Linked 
Solution Statement 
Vitals 
How do we integrate vital signs between VistA and FHIR ...
Syntax A 
Model A 
Vocabulary A 
Vocabulary B 
Rafael Richards MD MS 2014-08 
Linked 
Overview of Translation Process 
Vit...
Rafael Richards MD MS 2014-08 
Linked 
Vitals 
Linked Data (RDF): What is it? 
The World Wide Web Consortium (W3C) standar...
Rafael Richards MD MS 2014-08 
Linked 
Linked Data: 
Vitals 
Intersection of Semantic Technologies and Web Technologies
Linking media, geographic, publications, government, and life sciences … 
Rafael Richards MD MS 2014-08 
Linked 
Vitals 
L...
Rafael Richards MD MS 2014-08 
Linked 
What is VISTA? 
Vitals 
• Veterans Information Systems and Technology Architecture ...
Rafael Richards MD MS 2014-08 
Linked 
VISTA in the U.S. 
Vitals
Rafael Richards MD MS 2014-08 
Linked 
VistA Architecture: Overview 
VistA and Fileman Overview 
Vitals 
Web Services 
Que...
Rafael Richards MD MS 2014-08 
FileMan: VistA’s data conductorVitals 
Linked 
Fileman is the gateway to all VistA 
data. A...
Rafael Richards MD MS 2014-08 
Linked 
Vitals 
Exposing VistA’s native data model 
Objective: Make machine-processable sch...
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
Linked Vitals: A Linked Data Approach to Semantic Interoperability
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Linked Vitals: A Linked Data Approach to Semantic Interoperability

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This presentation was given at the Semantic Technology & Business Conference in San Jose, California on August 20, 2014 by Dr. Rafael M. Richards MD, MS. Dr. Richards is Physician Informaticist from the Office of Informatics and Analytics at the Veterans Health Administration, U.S. Department of Veterans Affairs.

Published in: Healthcare

Linked Vitals: A Linked Data Approach to Semantic Interoperability

  1. 1. Rafael Richards MD MS 2014-08 Linked Vitals Linked Vitals SemTech Conference San Jose, CA August 20, 2014 Rafael M Richards MD MS Physician Informaticist Office of Informatics and Analytics Veterans Health Administration U.S. Department of Veterans Affairs A Linked Data Approach to Semantic Interoperability
  2. 2. Rafael Richards MD MS 2014-08 Linked Vitals Problem Statement: General How do we integrate data such as vital signs meaningfully from different information systems? Vital signs System A System C System B
  3. 3. Rafael Richards MD MS 2014-08 Linked Vitals Problem Statement: Specific How do we integrate vital signs between VistA and FHIR each with different syntax, different models, and different vocabularies ? Different syntax Different Models Different Vocabularies Different syntax Different Models Different Vocabularies Different syntax Different Models Different Vocabularies Language barriers to exchange
  4. 4. Rafael Richards MD MS 2014-08 Linked Solution Statement Vitals How do we integrate vital signs between VistA and FHIR each with different syntax, different models, and different vocabularies ? A common exchange language
  5. 5. Syntax A Model A Vocabulary A Vocabulary B Rafael Richards MD MS 2014-08 Linked Overview of Translation Process Vitals Rule-based mapping Model alignment Vocabulary alignment Common syntax within model-flexible medium (Linked Data) Syntatic alignment FM Schema Semantic alignment Source Data Integrated Data Different Syntax Different Models Different Vocabularies Shared Syntax Shared Model Shared Vocabulary Shared Meaning Syntax C Model C Vocabulary C
  6. 6. Rafael Richards MD MS 2014-08 Linked Vitals Linked Data (RDF): What is it? The World Wide Web Consortium (W3C) standard for semantic information integration for the Internet of Data. HTML (hypertext markup language) For humans to exchange information RDF (resource description framework) For computers to exchange information Linked Documents (Document Web) Linked Data (Semantic Web) enables enables “The Semantic Web [Linked Data] provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.” Tim Berners-Lee, MIT Professor and Inventor of the World Wide Web (HTML and RDF protocols)
  7. 7. Rafael Richards MD MS 2014-08 Linked Linked Data: Vitals Intersection of Semantic Technologies and Web Technologies
  8. 8. Linking media, geographic, publications, government, and life sciences … Rafael Richards MD MS 2014-08 Linked Vitals Linked Data Linked Data and the Internet of Data This represents over 300 linked data sources and databases, comprising billions of data elements and millions of semantic links. Each on of these circles represents a data source, which is semantically linked to other data sources, creating one virtual federated queryable web of data. Wikipedia is one of the resources converted to Linked Data, and is called DBpedia (center circle). Why not linked healthcare?
  9. 9. Rafael Richards MD MS 2014-08 Linked What is VISTA? Vitals • Veterans Information Systems and Technology Architecture • Information system of all VA care sites • Foundation of other public health information systems – VA (VISTA): 1200+ care sites – DoD(CHCS): 900+ care sites – IHS(RPMS): 500+ care sites – NY State: 24 hospitals • Most physicians in U.S. have used VISTA • Open source – Deployed in many other settings in U.S. and internationally – Many developments by open source community
  10. 10. Rafael Richards MD MS 2014-08 Linked VISTA in the U.S. Vitals
  11. 11. Rafael Richards MD MS 2014-08 Linked VistA Architecture: Overview VistA and Fileman Overview Vitals Web Services Query Access Fileman Multidimensional Data Engine (M) FMQL M Node.js FMQL is the Fileman Query Language Fileman is VistA’s database management system M is VistA’s application-data integration engine. All 150+ VistA applications are integrated within one shared multidimensional data engine.
  12. 12. Rafael Richards MD MS 2014-08 FileMan: VistA’s data conductorVitals Linked Fileman is the gateway to all VistA data. All VistA applications use Fileman to access, structure, and query all data in VistA. VistA’s integrated data engine. All 150+ applications are integrated to their data inside the multidimensional data engine, represented by the inner circle. 12 Reference: code.osehra.org/vivian VistA’s Data Manager: Fileman M
  13. 13. Rafael Richards MD MS 2014-08 Linked Vitals Exposing VistA’s native data model Objective: Make machine-processable schemas, vocabularies, and datasets from VISTA

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