Predictive Health Analytics & Genomics in Population Health Management
Daniel Hoemke, VP of Global BD Dr. Hossein Fakhrai-Rad, Founder & CSO
HIMSSLas Vegas- March 2016
Today’s Discussion
CHALLENGE
2
INFORM
INSPIRE
…thinking about predictive analytics and application in personal and population health management
…consideration of the possibilities and the value that can be derived
…you on next generation science and technology
3
The Challenge
FOCUS
RELIANCE
FAILURE
…on management of high cost, high risk population cohorts
…to favorably bend cost trends or improve population health
…on hindsight, retrospective claims and clinical data
UNSUSTAINABILITY …Health costs for US families has doubled over past 10 years and tripled since 2001
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Today’s Limited Population Health Focus
Chronic Conditions – 12% Catastrophic Conditions – 1%
Strong Retrospective Visibility
Financial Saving Potential with Prevention
1995 2000 2005 2010 2015 2020 2025 2030118 125 133 141 149 157 164 171
If Prevention Is Not Systematically Approached,By 2025, 49% of Americans Will Have Chronic Diseases
1000 individuals
Depression
Allergic Rhinitis
Hypertension
Heart Disease
Asthma
Type 2 Diabetes
Cancer
75
56
32
12
7
6
2
Annual Progression to Disease
Additional annual cost due to
disease:$325,000
Annual additional cost of treatment due to progression to disease in a population of 1000 individuals
Source: Wu, Shin-Yi and Green, Anthony. Projection of Chronic Illness Prevalence and Cost Inflation. RAND Corporation, 10/2000 5
Confluence of Market Factors
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Health Science and Technology
Healthcare Consumerism
Healthplan Payer and Plan Sponsor
Roles
Healthcare Delivery and
Payment Ecosystems
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Today’s Total Population Health Potential
Chronic Conditions – 12%Catastrophic Conditions – 1%
Prospective Visibility for Disease RiskFor Which 7 Out of 10 Will Become Chronically Ill
Enhanced Prospective Visibility for Comorbidity Risk
Well/Acute Episodic Conditions – 87%
Comprehensive Health Assessment
Factors That Impact Our Health°
Exogenous Factors 60%
Genomics Factors 30%
Clinical Factors10%
BaseHealth
Analytics
Individual Risk Population Risk Recommendations Drug Response
Food ResponseBaseHealth predictive engine does not require the availability of all four data sets. The more data available, however, the more
complete the assessment.
° Source: IBM Watson
GenomicsLifestyle (Wearable
s)
EHR DataEnvironmentLipid PanelVitamin D
HomocysteineC-Reactive Protein
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Independent and Objective BaseHealth Score
A Predictive Score Between 0 and 1000
Reducing Risk Factor Values – 42%
Reducing Disease Risk – 35%
Completing Profile – 10%
Creating an Action Plan – 3%
Tracking Actions – 10 %
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698
BaseHealth Technology Makes Prevention A Reality
Biometrics/ Wearables
Low Cost Genome Sequencing
Cloud Computing/ Integration
Machine Learning
Smart Phones
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Data Sources
> 30K Scientific Publications
> 70M People Health Data
> 20K Genetic Risk
Factors
> 660Non-Genetic Risk Factors
Factors Analyzed Modeled on Platform>1200 Unique Genetic
Risk Factors
>75 Unique Non-Genetic Risk Factors
Nutrients14
Drugs24
Diseases41
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Analysis and Integration of Massive Scientific Data
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International Journal of Medical Technology, ISSN: 2051-574X, Vol.23, Issue.1 1116
Predictive Value of Personalized Risk Assessment to Prevent Multifactorial, Complex
and Chronic Diseases
Submitted for publication to: International Journal of Medical Informatics (Elsevier)
Application of Personalized Risk Assessment to Prevent Chronic Diseases Using Aggregate
Population Based Data
Scientific Validation / Excellent C-Stats Results
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About BaseHealth
Company originated at Stanford Genome Technology Center
Headquartered in Redwood Shores, CA
Comprehensive cloud-based Health Predictive Analytics platform offered via an API solution or a SaaS platform
Strong team of visionaries, entrepreneurs, with previous leadership roles in companies such as Affymetrix, ParAllele Biosciences, Oracle, Humana, Aetna, Visa International, and academic institutions such as Harvard, Stanford, and Karolinska Institute
HIPAA Compliant, TRUSTe, CLIA, and CAP Certified