don ross-health 2.0 01.15.2013
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Transforming HealthcareImprove Quality
Leverage Information Technology
Engage Consumers
Value-based Incentives
Reduce Demand
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Big Themes
Behavior Change Telemedicine Quantified Self
Big Data Interoperability Aging in Place
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Health Data Tsumani
Drug Research
Test Results
New Health Data Sources
Social Media
Claims
Patient Records Gene Sequencing
Home Monitoring Mobile apps
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Actionable Data• 11 million use mobile enabled glucose
monitors• Actionable information • Continuous monitoring?
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Blockbuster Potential
Drug?• 47.5% - 5% weight loss (1 year)
mHealth?• 36% - 5% weight loss (3 months)
Omada Health?• Average weight loss = 6.4% (16 weeks)• NIH Diabetes Prevention Program
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Continuum of Care
Chronic @ Home WellnessAcute
Terminal Acute Chronic At Risk Healthy
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HealthTech = Market Risk
Hospitals
Patients
Consumers
MDs
AlternateCare
User Adoption RiskUsers? Many?Why Use? Often? Acquire? Cost?
Business Model RiskWho Pays? Why? Prove Value?Sustainable Barriers?
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Hitting the Pay Wall• 1 of 3 Americans – online for health
information• Of which, 1 in 4 hit “pay wall”
2% paid83% sought free alternate13% gave up
Source: Pew Health Online 2013
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HEALTHTECH ?
Market
FDA
Trials
Payment
Product
Venture: Market vs. Product Risk?
> $25K
> $ 1 M
> $5 M
> $15 M
> $50 M
Seed Series A Series B Series C Series D Series E
1 M
VALUATION
$ 10 M
$ 100 M
$ 1 BLIFE SCIENCE
TECH
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HealthTech: New Investment Space
• High Market Risk– Healthcare Ecosystem Expertise
• Complex Pain points and Workflows• Regulatory, Multiple Stakeholders
– Unproven Market• Revenue Model, User Adoption
• Low Technology Risk– Quick Prototyping and Launch– Capital Efficient: Few VC rounds
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HealthTech Capital Members
Investors
Industry
Service
Physicians
Venture
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Collaborative Ecosystem
HealthTech StartupSeed $
Mentoring Validation
Strategic Partner