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Analytics Improves Outcomes
for PinnacleHealth System
IBMbigdatahub.com/Healthcare
Objective
Reduce readmissions for patients with chronic health
conditions by integrating analytics into the clinical workflow.
Drivers
Ensure proper intervention at the point of care within
today’s environment of shrinking resources, rising costs
and health reform-driven reimbursement cuts.
Solution
IBMbigdatahub.com/Healthcare
PinnacleHealth & Waypoint Consulting
used IBM Analytics to build a predictive
model that evaluates the risk of
readmission for patients with chronic
obstructive pulmonary disease (COPD).
For PinnacleHealth, the key was
to look beyond how a patient is
managed in the hospital...
IBMbigdatahub.com/Healthcare
IBM Analytics solutions assemble, explore and
discover data from patient records and combine it
with information gathered during a hospital stay...
IBMbigdatahub.com/Healthcare
IBMbigdatahub.com/Healthcare
PinnacleHealth
uses this holistic
view of the patient’s
life to predict the
risk of readmission.
IBMbigdatahub.com/Healthcare
Results
As a result, physicians
can initiate interventions
for patients who are at
high risk of readmission.
IBMbigdatahub.com/Healthcare
Results
PinnacleHealth is predicting
COPD readmissions with 85%
accuracy, enhancing patient
outcomes and lowering costs.
Results
IBMbigdatahub.com/Healthcare
Estimated $200K annual savings
Reducing readmissions by 30%=
IBMbigdatahub.com/Healthcare
“The healthcare industry can’t afford to rest on its laurels.
Predictive analytics is now a business imperative.
It is no longer just a nice-to-have. Other sectors know
this already; it’s time for healthcare to start turning
knowledge into action that improves patients’ lives.”
Dr. George Beauregard
SVP & CCO at PinnacleHealth
IBMbigdatahub.com/Healthcare
Find more about IBM Analytics for Healthcare:
IBMbigdatahub.com/Healthcare
Read the full case study:
IBM.co/PinnacleHealth

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Analytics improves outcomes for PinnacleHealth System