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Achieving EHR interoperability: How a CIN consolidated patient data across 1,352 physicians and 185 practice locations

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Turning big data in healthcare into smart data to take on more financial risk at Eastside Health Network

How does a clinically integrated network (CIN) consolidate data across 1,352 physicians and 185 practice locations? And how can it use that data effectively to better manage care and meet the requirements of different value-based care (VBC) contracts?

 

Eastside Health Network (EHN), based in Washington state, is quickly rising to meet that challenge. Formed in 2017 by a joint venture between EvergreenHealth and Overlake Medical Center, EHN needed a cost-effective way to quickly aggregate data from multiple payers, provider practices and EHRs. Then, it had to ensure that its clinicians could readily use that data to manage health and take on financial risk.

Results

Being able to aggregate and analyze high-quality data across multiple payers and types of contracts has enabled EHN to quickly progress to more advanced contracts — including shared savings, downside risk and fully capitated programs. Intuitive, easy-to-read dashboards engage user teams with different reports for different needs, providing the data they need to close care gaps, identify high-risk members and manage care. EHN’s care management team can now identify, outreach and track high- and rising-risk patients in a VBC contract with some 35,000 members. Results included:

 

• Integrating 10 payer feeds, over 40 practice billing systems and ~20 EHR feeds across two large health systems 
 

• Managing multiple payer contracts ranging from shared savings to full capitation 
 

• 2.9% lower employee medical plan costs year over year as of Q1 2018*

Our approach

 
  • Interfaced multiple EHRs to Philips platform as the least disruptive, most efficient method of obtaining claims and clinical data

  • Developed customized reports and alerts for each VBC contract, allowing the care management team to receive at-a-glance views of members’ risk profiles 

  • Leveraged data to identify the at-risk patients, and their care teams performed outreach to engage and activate those patients

  • Secured a growing number of VBC contracts to take on greater risk 

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*Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions.

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