The document discusses the use of health information exchange technology to create computable clinical data, emphasizing the importance of semantic interoperability and data liquidity. It outlines challenges in building an electronic medical data repository and provides key considerations for a build vs. buy decision. Additionally, it highlights upcoming technologies that could significantly enhance the process of generating structured data from electronic medical records.

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