Download - Yosemite part-4 webinar-final
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Towards a Web of Clinical Knowledge
Experience gained from DoD TAPS Research Project
Claude Nanjo
December 2014 SemanticWeb.com
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Overview
• The healthcare challenge
• Exposing clinical knowledge on the Web as RDF
• Transforming clinical content – An example from the DoD TAPS project
• Getting closer to this vision
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The Challenge
The US Healthcare System is highly heterogeneous.How do we converge?
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The Rapid Growth of Health Knowledge
Information will need to be sharable and machine-processable if it is to scale
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Exposed and Richly Linked Knowledge …
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… That is computable, Reusable, and Actionable
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$$
csv$
Clients$
ActImprove
Outcomes
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This Ecosystem Already Exists!
Computing
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EXPERIENCE GAINED FROM DODAND VA RESEARCH PROJECTS
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Our Focus Today
Capture Expose Transform
Process
& Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$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
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TAPS RDF Pipeline
CHCS
Model Transformation
ICD9 to SNOMEDDX translation
NLP parse of Med SIG intodiscrete data
Name parseinto discrete data
Address parseinto discrete data
graphalignment
ClusterNode
ClusterNode
ClusterNode
Graph Federation
Graphtransform &distribution
Hadoopcsv
Clients
Graph Clients
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RDF Pipeline Definition
For more information on the RDF Pipeline Framework, please visit:http://rdfpipeline.org/
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Deterministic Model Transformation: CHCS Address to FHIR Address
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Non-Deterministic Model Transformation: From CHCS SIG to
FHIR
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Leveraging SPARQL for Terminology Alignment
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Deterministic, Declarative, Reusable Transformation
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WHAT’S NEXTA multi-pronged approach
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Capture Knowledge Declaratively
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$$
csv$
Clients$
ActImprove
Outcomes
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Why we need standards to guide clinical capture
• RDF makes the processing of clinical information staight-forward.– Lots of tooling– It is a known semantic model with a number of supported
representations (RDF/XML, Turtle, …)
• RDF cannot solve all problems– Transformations are expensive even with RDF– Hard to maintain– Transformations are lossy and not always deterministic
• Need standards to converge on– Standards that allows convergence towards a common clinical
baseline.– Great strides being made in the standards world– Customization and localization increase TCO
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A few encouraging developments
• The adoption of FHIR (Fast Healthcare Interoperability Resources) – an implementer-friendly resource-oriented, REST-based clinical resource framework– http://www.hl7.org/implement/standards/fhir/summary.html
• The RDF Semantic Interoperability SWG at HL7– Goal: To help expose HL7 standards using OWL/RDF– Discussion on an OWL ontology for FHIR and a FHIR RDF
representation• Convergence of two existing communities
– HL7 – W3C Semantic Web for Health Care and Life Sciences Group– http://wiki.hl7.org/index.php?title=RDF_for_Semantic_Interope
rability
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Expose Resources and Reusable Logic
Capture Expose Transform
Process
& Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$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
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Encouraging developments
• ONC’s Clinical Quality Framework Initiative– The harmonization of CDS and Clinical Quality models
through FHIR – CDS ontologies?
• CDS Collaborative – Collaboration between the University of Utah
(OpenCDS) and Cognitive Medical Systems (Socratic Grid)
– Declarative rules to be exposed on the Web– Enable access to clinical decision support services that
leverage the web and RDF
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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$$
csv$
Clients$
ActImprove
Outcomes
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Other prototypes from the TAPS project
• Record linkage through FHIR normalization using RDF
– CHCS and VISTA
• Patient Cohort Classification System
• PTSD Capacity Planner
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Provide Support At the Point of Care
Capture Expose Transform
Process
& Analyze
CHCS$
ICD9$to$SNOMED$DX$transla4on$
NLP$parse$of$$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
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The Ask
• Help us get there, get involved in an initiative• Engage the community• Contribute to Open Linked Knowledge