Creating Value Through Computable Clinical Data

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Computable clinical data has numerous high value applications including comparative effectiveness research, personalized medicine, and claims adjudication. I discuss some of the technologies involved in making patient data computable

Technologie Business

Using Health Information
Exchange Technology to Create
Computable Clinical Data
Robert Bond
Sr. Consultant
Health Information Technology
Excella Consulting
Robert.Bond@excella.com

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

A Complete Solution
Complete Solution
Conversion of Electronic Medical Data into Information

Semantic Extraction,
Interoperability Transformation,
& Loading
Health Computable
Clinical Data
Information
Exchange Database
Technology
NLP

Ontology Natural Language
Engineering Processing

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Table of Contents

Computable Clinical Data

Building an Electronic Medical Data Repository

Build vs. Buy

Key Takeaways

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Computable clinical data has
numerous high value applications
Computable Key Properties
Data Structured
Unambiguous
Clean/Validated
Graphic Example Application

? Comparative Effectiveness

Personalized Medicine

Claims Adjudication
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Building an electronic medical data
repository

Questions Develop Strategy
What are the key Scan environment for
challenges? technologies, products
Relevant technology and companies
trends? Research technology
Build vs buy? trends
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Research involves speaking with
people and reviewing literature
Graphic Details
Primary Research via Interviews
Government Officials
Subject Matter Experts
Vendors
Employees
Secondary Research via Literature
Review
Analysts Reports
Journal Articles
Websites

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Creating computable clinical data
faces three key challenges

Semantic Interoperability
20%
Messaging Standards

Data Liquidity

80%

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Upcoming technologies offer
significant value proposition…

Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print.

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

…and can be leveraged to create
computable clinical data
Benefit and Years to Mainstream Adoption for Selected
Healthcare Provider Technologies & Standards
Less than 2 Years 2 to 5 Years

6 Natural Language Processing
(Text to Facts)
High 3
Level of Benefit

SNOMED-CT

2
5
HL7 CDA R2 CCR/CCD
1
7
Natural Language ICD-10 CM (U.S.)
Moderate Processing (Clinical 4
Service-Oriented Architecture
Concepts)

Years to mainstream adoption

Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print.

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Natural language processing
generates structured data
Natural Language Processing
Convert Free Text into Structured Data

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

A complete solution involves a
number of technologies
Complete Solution
Conversion of Electronic Medical Data into Information

Semantic Extraction,
Interoperability Transformation,
& Loading
Health Computable
Clinical Data
Information
Exchange Database
Technology
NLP

Ontology Natural Language
Engineering Processing

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Consider both internal and external
factors in a build vs. buy decision...
Key Factors in a Build vs. Buy Decision
Internal and External Factors

Technolology Business
Infrastructure Need

Build vs. Buy
Decision
Risk Organizational
Capability
Governance /
Funding
Market Readiness Governance /
Funding

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

…and use lessons learned from
others to formulate strategy
Takeaway
Pay particular attention to data
quality
Consider market maturity when
looking for an “off the shelf”
product
Evaluate products for potential
“technology/product lock”
Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Takeaways cover challenges,
build/buy, and technology trends
# Summary
Consider key challenges:
1 Data Liquidity
Semantic Interoperability
Messaging Standards
2 Assess internal and external factors in any
build vs. buy decision
3 Evaluate technology trends for new
technologies and state of the industry

Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

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Creating Value Through Computable Clinical Data

1. Using Health Information Exchange Technology to Create Computable Clinical Data Robert Bond Sr. Consultant Health Information Technology Excella Consulting Robert.Bond@excella.com Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

2. A Complete Solution Complete Solution Conversion of Electronic Medical Data into Information Semantic Extraction, Interoperability Transformation, & Loading Health Computable Clinical Data Information Exchange Database Technology NLP Ontology Natural Language Engineering Processing Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

3. Table of Contents Computable Clinical Data Building an Electronic Medical Data Repository Build vs. Buy Key Takeaways Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

4. Computable clinical data has numerous high value applications Computable Key Properties Data Structured Unambiguous Clean/Validated Graphic Example Application ? Comparative Effectiveness Personalized Medicine Claims Adjudication Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

5. Table of Contents Computable Clinical Data Building an Electronic Medical Data Repository Build vs. Buy Key Takeaways Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

6. Building an electronic medical data repository Questions Develop Strategy What are the key Scan environment for challenges? technologies, products Relevant technology and companies trends? Research technology Build vs buy? trends Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

7. Research involves speaking with people and reviewing literature Graphic Details Primary Research via Interviews Government Officials Subject Matter Experts Vendors Employees Secondary Research via Literature Review Analysts Reports Journal Articles Websites Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

8. Creating computable clinical data faces three key challenges Semantic Interoperability 20% Messaging Standards Data Liquidity 80% Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

9. Upcoming technologies offer significant value proposition… Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print. Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

10. …and can be leveraged to create computable clinical data Benefit and Years to Mainstream Adoption for Selected Healthcare Provider Technologies & Standards Less than 2 Years 2 to 5 Years 6 Natural Language Processing (Text to Facts) High 3 Level of Benefit SNOMED-CT 2 5 HL7 CDA R2 CCR/CCD 1 7 Natural Language ICD-10 CM (U.S.) Moderate Processing (Clinical 4 Service-Oriented Architecture Concepts) Years to mainstream adoption Runyon, Barry et al. "Hype Cycle for Healthcare Provider Technologies and Standards, 2009." Gartner. (2009): Print. Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

11. Natural language processing generates structured data Natural Language Processing Convert Free Text into Structured Data Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

12. A complete solution involves a number of technologies Complete Solution Conversion of Electronic Medical Data into Information Semantic Extraction, Interoperability Transformation, & Loading Health Computable Clinical Data Information Exchange Database Technology NLP Ontology Natural Language Engineering Processing Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

13. Table of Contents Computable Clinical Data Building an Electronic Medical Data Repository Build vs. Buy Key Takeaways Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

14. Consider both internal and external factors in a build vs. buy decision... Key Factors in a Build vs. Buy Decision Internal and External Factors Technolology Business Infrastructure Need Build vs. Buy Decision Risk Organizational Capability Governance / Funding Market Readiness Governance / Funding Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

15. …and use lessons learned from others to formulate strategy Takeaway Pay particular attention to data quality Consider market maturity when looking for an “off the shelf” product Evaluate products for potential “technology/product lock” Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

16. Table of Contents Computable Clinical Data Building an Electronic Medical Data Repository Build vs. Buy Key Takeaways Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

17. Takeaways cover challenges, build/buy, and technology trends # Summary Consider key challenges: 1 Data Liquidity Semantic Interoperability Messaging Standards 2 Assess internal and external factors in any build vs. buy decision 3 Evaluate technology trends for new technologies and state of the industry Health Information Exchange and Computable Clinical Data Robert.Bond@excella.com

Creating Value Through Computable Clinical Data

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