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

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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

www.basehealth.com

Booth #14113

For More Information, Please Contact Parsi at:parsinejad@basehealth.com