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© d-Wise Technologies, Inc. 2016 March 14, 2018 Page 1 March 14, 2018
Predictive Analytics- Leveraging Healthcare Through Data
Taylor Pressler, d-Wise
© d-Wise Technologies, Inc. 2016 March 14, 2018 Page 2
Solutions and Consultancy in Healthcare
© d-Wise Technologies, Inc. 2016 March 14, 2018 Page 3
Core Challenge Within Healthcare
Organisation for Economic Co-Operation and Development
• Increasing costs for services
• Aging population is
proportionally large
• Smaller proportion of younger
population contributing to
system finances.
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Exponential Growth of Data in Healthcare
• Electronic medical records
• Digitization of results
• Pathology reports
• Laboratory results
• Radiological results
• New technologies create their own data
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Diffusion of Analytics
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Healthcare Analytics – What can you expect?
Ultimately, predictive models become the
foundation for clinical care pathways.
Better, more efficient, more efficacious care
can be delivered with the support of the
predictive models
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Clinical Implementation & Integration
Load models into data system
Retrospective reporting & model tuning
Analytic dashboards and patient forecasts
Clinical coordination based on risk
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Case Study - OhioHealth
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Readmission Rates
20,0%
22,0%
24,0%
26,0%
28,0%
30,0%
32,0%
34,0%
36,0%
38,0%
40,0%
0,5
0,6
0,7
0,8
0,9
1
1,1
1,2
1,3
1,4
1,5
Readmission Rates After Predictive Model Implementation
Risk Ratio Readmissions
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Solving the challenges
Operational patient list
Reviewed by clinicians
Preventative measures
implemented
Patients monitored
Patient data loaded
Implementation of Predictive
Models
Clinical Workflow
Review
Each Day
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Daily Patient Discharge Lists-Prioritized
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Understand Provider Performance
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Continuous Monitoring Post-Implementation
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Predictive Models: Production
Readmission Models
– All-Cause Readmission
– Condition Specific Readmissions (Heart Failure, Stroke, Pneumonia,
Myocardial Infarction, etc).
Safety of Care Models
– Central Line Infections
– MRSA Infections
– Sepsis
– Surgical Site Infections (Hysterectomy, Colon Surgery)
– Deep Vein Thrombosis
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Predictive Models: Development
Mortality Models
– Condition Specific Mortality (Heart Failure, Stroke, Pneumonia,
Myocardial Infarction, CABG).
Safety of Care Models
– Pulmonary Embolism
– Stage 4 Pressure Ulcer
– C-Diff Infection
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Drive Your Measures….Don’t Just Report Them
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