CUSTOMER PROJECTS

ONE OF THE LARGEST BLUES
One of the largest Blues has contracted with Bellrock to provide SDoH data for over 5,000,000 members from their Medicaid and Commercial lines of business.  Bellrock will supply 1900+ SDoH data elements for each member.  The Blues Plan will combine the SDoH data with claims and other internal data to predict individual risk and to identify unmet needs of these members.  This customer will then be equipped to deploy care management and social services resources to close the gaps to improve health outcomes and reduce total cost of care.  Bellrock applauds this insurer for its commitment to Advancing Health Beyond Healthcare!  



MAJOR NORTHEASTERN UNITED STATES HEALTHCARE SYSTEM 
This nationally-acclaimed health system has 14+ hospitals and a physician network serving patients in a major northeastern city and its surrounding suburbs.

Target
25,000 patients with congestive heart failure (CHF) who are re-admitted within 30 days 
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Goals
Improve predictability of the CHF 30-day readmission rate and improve quality of care based on the application of Social Determinants of Health (SDoH) as provided by the EIP
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Methodology
To quickly produce the applicable individualized SDoH data, Bellrock only needed the customer to provide the name of the patient, associated demographic data, and some specific clinical data.  Armed with this information, Bellrock built a model via its EIP, based solely on SDoH, to predict 30-day CHF readmissions. The EIP predictive model can be reproduced for any disease sta 

Results
The EIP model was able to predict with 82% accuracy all 30-day CHF readmissions occurring over a five-year period. The potential savings for only 4 hospitals within the health system are  $12 to $24 million, or 10% to 20% annually

Future
​Deploy the predictive model for current CHF-admitted patients before they are readmitted, and use EIP to develop predictive models for other disease states. 



NATIONAL HEALTH INSURER
​A leading health payer with more than 13 million members nationwide.
 
Target
Respiratory disease in the insurer’s 110,000 members in South Carolina, with a focus on asthma and COPD. 

Goals
Use Social Determinants of Health (SDoH) to identify those high-risk individuals likely to develop asthma (“Bloomers”). Improve disease management by deploying case managers for early intervention to reduce costs and admissions and improve health outcomes for members.

Methodology
Bellrock combined SDoH data at an individual member level with client-supplied information and created a model using its exclusive Enterprise Intelligence Platform (EIP) to predict asthma admissions.

Results
Bellrock’s EIP was able to predict with more than 80% accuracy the currently low-cost members who will have a high risk of asthma-related ER visits and inpatient admissions. Within the state of South Carolina, we estimate they should see a savings in the range of $4 to $6.5 million, or 30% to 50% annually.

Future
​Armed with this data on a near real-time basis, the health insurance company can deploy case managers to hospitals to collaborate with clinicians, addressing risk factors to decrease the likelihood of readmissions for asthma patients, thus reducing costs and improving outcomes.