HIE 101 2014 Version

3/12/2014
HIE in 2014
Next Steps for the Safety Net
March 26, 2014
Panel Participants
• Chris Jioras
– Project Manager, North Coast Health Information Network
• Christy Rosenberg
– Executive Director, Community Clinics Health Network, San Diego
• Sajid Ahmed
– Chief Innovation and Information Officer, Martin Luther King Jr. Community Hospital
• Moderator
– Mark Elson, Principal & Founder, Intrepid Ascent
HIE 101
2014 Version
Mark Elson, PhD
Principal & Founder
Intrepid Ascent
Email: [email protected]
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The Challenge
• Providers under increasing pressure to enable data exchange • EHRs often replicate paper data silos and dependence on faxing persists
• No silver bullet but multiple options for connectivity
Organizations must determine their own HIE pathway appropriate to their clinical and business goals
HIE on a Spectrum
Community data repository
Lab results delivery
Level of Integration
Overlapping Approaches
Community HIE
Enterprise HIE
Point‐to‐point exchange
National Standards
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Health Information Exchange Adoption
80%
73%
70%
60%
Percent
50%
53%
47%
43%
40%
40%
30%
20%
10%
0%
Overall
Urban Clinic
Rural Clinic
Corporate Site
Solo Site
Overall and by Clinic Category
This and the following four slides are from “Health information exchange among California clinics: results of a statewide survey,” Katherine Kim, San Francisco State, sponsored by CPCA and CHeQ, January 2014.
Data Exchange Partners
100%
85%
80%
60%
40%
59%
59%
38%
37%
30%
25%
20%
9%
8%
0%
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Types of Data Being Exchanged
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Urban
Rural
HIE on a Spectrum
Centralized community exchange
Lab results delivery
Level of Integration
Direct messaging
Enterprise systems
Directed or “push” exchange
Federated community exchange
Query exchange
Getting Started
• Develop a plan for connectivity
– CalHIPSO HIE toolkit
– CHeQ provider guide
• Consider Direct
– California Direct
• Evaluate local HIE efforts
– CHeQ Map
• Start Small with Population Health Analytics
– Million Hearts Initiative
Talk to partners with overlapping patient populations
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