UNC Health Care and Forecast Health collaborated to develop a predictive analytics model to identify patients at high risk of hospital readmission. The model analyzed clinical and utilization data from over 66,000 patients. It outperformed other models in identifying factors that influence health risks and outcomes. This will allow care teams to proactively support at-risk patients and lower costs from avoided readmissions, benefiting both patients and hospitals. Under the collaboration, Forecast Health will further develop and commercialize the model so other hospitals can use it.

1. 6/10/2015 UNC Health Care and Forecast Health Develop Predictive Analytics for Identifying Patients at Highest Risk of Readmissions
http://www.prweb.com/releases/2015/05/prweb12755440.htm 1/2
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When care providers are able
to proactively address patient
needs, patients enjoy better
health. And when patients do not
need to return to the hospital, lots
of costs are avoided. That is good
news for the hospital and the
patient.
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Durham, NC (PRWEB) May 31, 2015
UNC Health Care and Forecast Health announce today
the successful completion of the first phase of a
collaboration designed to help patients receive better
care. The collaboration has produced an analytical
model that helps clinicians predict when patients are at
high risk of readmission to a hospital so that care
teams can proactively offer support to individual
patients based on personal risks and needs.
“This is a great story of the power of collaboration,”
said Jason Burke, Senior Advisor at the UNC Health
Care and School of Medicine Center for Innovation. “By
joining forces, we were able to assemble a very
talented group of industry experts who worked through
over 40 different advanced analytical models and literally hundreds of potential factors to develop a new technique for
avoiding hospital readmissions. The new technique outperforms every other model we’ve tested.”
The Forecast Health team combined historical clinical and utilization data with data from the current hospital
admission for over 66,000 patients. That data was analyzed with predictive analytics software to identify factors that
influence a patient’s health risks or overall health outcomes.
“Our results offer both clinical and financial benefits for patients,” explains Michael Cousins, PhD, President and Chief
Analytics Officer at Forecast Health. “When care providers are able to proactively address patient needs, patients
enjoy better health. And when patients do not need to return to the hospital, lots of costs are avoided. That is good
news for the hospital and the patient.”
Under the terms of the collaboration, Forecast Health will further develop and commercialize the predictive analytics
so that patients at other hospitals can benefit from the insights produced by the collaboration.
About Forecast Health
Forecast Health provides actionable and affordable predictive analytics and planning tools to enable population health
programs for health systems. They utilize “big data” tools and their knowledge of healthcare operations to help
systems increase revenue, control costs, and improve patient outcomes. Forecast Health is headquartered in
Durham, NC. Check out our website at http://forecasthealth.com to know about our solutions or contact us at
Hello(at)ForecastHealth(dot)com.
About the UNC Health Care / School of Medicine Center for Innovation
Established by the UNC Health Care System (UNC HCS) and the UNC School of Medicine (UNC SOM), the Center
for Innovation (“the Center”) initiates, evaluates and supports the adoption of disruptive, patient­centered innovations
in the delivery and financing of health care. The Center strives to provide rapid assessment, coordinated facilitation,
program management, partnership development and funding for innovation.
UNC Health Care and Forecast Health Develop Predictive
Analytics for Identifying Patients at Highest Risk of
Readmissions
UNC Health Care and Forecast Health develop Predictive Analytics to identify high
risk patients. This will allow care teams to proactively offer support to individual
patients based on personal risks and needs.
Kriti Adlakha
Forecast Health
+91 8008715566
Email
Contact
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