towards(aweb(of(clinical( knowledgedbooth.org/2014/nanjo/semtech2014_publish.pdfoverview •...
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Towards a Web of Clinical Knowledge
Experience gained from DoD TAPS Research Project
Claude Nanjo December 2014 SemanFcWeb.com
Overview
• The healthcare challenge • Exposing clinical knowledge on the Web as RDF
• Transforming clinical content – An example from the DoD TAPS project
• GeNng closer to this vision
The Challenge
The US Healthcare System is highly heterogeneous. How do we converge?
The Rapid Growth of Health Knowledge
Informa(on will need to be sharable and machine-‐processable if it is to scale
Exposed and Richly Linked Knowledge …
… That is computable, Reusable, and AcFonable
Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
This Ecosystem Already Exists!
CompuFng
EXPERIENCE GAINED FROM DOD AND VA RESEARCH PROJECTS
Our Focus Today Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
TAPS RDF Pipeline
CHCS
Model Transformation
ICD9 to SNOMED DX translaFon
NLP parse of Med SIG into discrete data
Name parse into discrete data
Address parse into discrete data
graph alignment
Cluster Node
Cluster Node
Cluster Node
Graph Federation
Graph transform & distribuFon
Hadoop
csv
Clients
Graph Clients
RDF Pipeline DefiniFon
For more informaFon on the RDF Pipeline Framework, please visit: h\p://rdfpipeline.org/
DeterminisFc Model TransformaFon: CHCS Address to FHIR Address
Non-‐DeterminisFc Model TransformaFon: From CHCS SIG to
FHIR
Leveraging SPARQL for Terminology Alignment
DeterminisFc, DeclaraFve, Reusable TransformaFon
WHAT’S NEXT A mulF-‐pronged approach
Capture Knowledge DeclaraFvely Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
Why we need standards to guide clinical capture
• RDF makes the processing of clinical informaFon staight-‐forward. – Lots of tooling – It is a known semanFc model with a number of supported
representaFons (RDF/XML, Turtle, …) • RDF cannot solve all problems
– TransformaFons are expensive even with RDF – Hard to maintain – TransformaFons are lossy and not always determinisFc
• Need standards to converge on – Standards that allows convergence towards a common clinical
baseline. – Great strides being made in the standards world – CustomizaFon and localizaFon increase TCO
A few encouraging developments • The adopFon of FHIR (Fast Healthcare Interoperability
Resources) – an implementer-‐friendly resource-‐oriented, REST-‐based clinical resource framework – h\p://www.hl7.org/implement/standards/dir/summary.html
• The RDF SemanFc Interoperability SWG at HL7 – Goal: To help expose HL7 standards using OWL/RDF – Discussion on an OWL ontology for FHIR and a FHIR RDF representaFon
• Convergence of two exisFng communiFes – HL7 – W3C SemanFc Web for Health Care and Life Sciences Group – h\p://wiki.hl7.org/index.php?Ftle=RDF_for_SemanFc_Interoperability
Expose Resources and Reusable Logic
Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
Encouraging developments • ONC’s Clinical Quality Framework IniFaFve
– The harmonizaFon of CDS and Clinical Quality models through FHIR
– CDS ontologies? • CDS CollaboraFve
– CollaboraFon between the University of Utah (OpenCDS) and CogniFve Medical Systems (SocraFc Grid)
– DeclaraFve rules to be exposed on the Web – Enable access to clinical decision support services that leverage the web and RDF
Knowledge Discovery Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
Other prototypes from the TAPS project
• Record linkage through FHIR normalizaFon using RDF – CHCS and VISTA
• PaFent Cohort ClassificaFon System • PTSD Capacity Planner
Provide Support At the Point of Care
Capture Expose Transform
Process & Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$Med$SIG$into$$discrete$data$
Name$parse$into$discrete$data$
Address$parse$into$discrete$data$
graph$alignment$
Cluster$Node$
Cluster$Node$
Cluster$Node$
Graph$transform$&$distribu4on$
Hadoop$$
csv$
Clients$
ActImprove
Outcomes
The Ask • Help us get there, get involved in an iniFaFve • Engage the community • Contribute to Open Linked Knowledge