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Th Di i l R dThe Digital Road to Optimum Healthto Optimum Health
Drew Senyei, M.D.e Se yei,Managing DirectorEnterprise Partners Venture Capital
What is “Health”?
“A state of complete physical mentalA state of complete physical mental and social well‐being and not merely the absence of disease or infirmity”the absence of disease or infirmity.
World Health Organization (1948)Preamble to the Constitution of the World Health Organization as adopted by the International Health Conference, New York, 19‐22 June 1946; signed on 22 July 1947 by the representatives of 61 states
World Health Organization (1948)
Making Progress But Far From “Absence of Disease”
Va i e a e e t a ha dful of di ea e• Vaccines can prevent a handful of diseases• Antibiotics can cure most bacterial infections• Some cancers detected early enough can be cured
• We have greatly improved our longevity– 1950 = 48 years; 2005 = 65.5 yearsy y
– But at the price of more chronic diseases
The Major Determinants of Health
EnvironmentEnvironment
HEALTH LifeHuman HEALTH LifeStyle
Human Biology
Healthcare System
U.S. Healthcare Expenditures An Unsustainable Trend
HealthcareSystem
UnitedStates
% GDP
%
Source : OECD Health Data 2009
Major Chronic Diseases – Cost US Economy $1.3T Annually for Treatment and Lost Economic Output
HealthcareSystem
An Inconvenient TruthGlobal Fattening
LifeStyle
g
• The major cause of chronic disease morbidity and mortalitymorbidity and mortality– Approaching 20% of healthcare costs
by 2020 (1)
• A puzzling multi‐factorial etiology– Genes– Environment (toxins viruses)– Environment (toxins, viruses)– Personal behavior
Not ju t i the U S a d ot ju t• Not just in the U.S. and not just people – but also animals that live near us! (2)
(1) Rand Corporation Study(2)Canaries in the Coal Mine; Across species analysis of the plurality of obesity epidemics. Proc. R. Soc.B doc10.1098 (2010)
Progress on Obesity Alone Would Deliver >$100B Cost Savings
The Current Healthcare System Will Not Solve Our Problems
“We cannot solve problems by using the same kind of thinkingusing the same kind of thinking we used when we created them.”
‐Albert EinsteinAlbert Einstein
Emerging New Tools Can Change Outcomesg
• Predictive Diagnostics g– Better markers of early disease or deviation from health
– Predict individuals response to drugsp g
• Personalized Drugs That Are More Effective– More targeted less side effects and used earlierg
– Applied to Preventing diseases (AIDS chemo phophylaxis)
• Personal longitudinal data and Outcome measurementsg– Healthcare IT needs to move beyond automating current work
processes to being a “Learning System” that continually improves healthimproves health
Predictive Diagnostics… Not Perfect YetEnvironment
HumanBiology
Genomics
Disease Gene New CasesP Y
Percent With G
Chance of DiDisease Gene Per Year With Gene Disease
Alzheimerʹs ApoE4 380,000 34%‐65% 29%
Breast Cancer
BRCA1,BRCS2 200,000 5%‐10% 36%‐85%
l APC, MLH1,Colon Cancer
APC, MLH1,MSH2,
MSH6, PMS2145,000 5% 80%‐90%
Source: Modified from Discover Oct. 2006 pg 63
Whole Genome SequencingEnabling Personalized Medicine
HumanBiology
Genomics
•30,000 WGS by end of 2011•Soon < $1 000 with Clinical Accuracy
‐PREDICTIVE DIAGNOSTICS has begun
•Soon < $1,000 with Clinical Accuracy
‐DISEASE MECHANISMS being elucidated
‐PERSONALIZED DRUGS on horizon
‐EVERY NEWBORN will be sequenced
Whole Genomic Sequencing Revealing New Disease Mechanisms
HumanBiology
Genomics
For Many Patients Drugs Are Ineffective(1)
Oncology ≅ 30%Oncology ≅ 30%
Migraine ≅ 50%
A ti D t 60%Anti‐Depressant ≅ 60%
Alzheimer ≅ 30%
Asthma ≅ 60%
I ff h h O d h h UIneffective therapies can cause harm. Over 100,000 deaths in the US (6th leading cause)
(1) Spear B. Health ‐ Chiozzi .M., Huff , J., Clinical Trends in Molecular Medicine 2001,5):201‐4
Personalized MedicinesBased on DNA Sequencingq g
Modified from Burrill and Company
DNA Is Not Necessarily Destiny
Disease concordance in twins relatively low for complex diseasesy p
The Complexity of Living Systems
• Agiven genetic mutation can have different PENETRANCEA given genetic mutation can have different PENETRANCEresulting in different phenotype in genetically identical twins
•Development and ENVIRONMENT greatly influenceDevelopment and ENVIRONMENT greatly influence phenotype
•POLYGENIC traits can be especially complex to understand•POLYGENIC traits can be especially complex to understand
•EPIGENETIC effects can alter gene expression in twins through differential exposure to chemicals environmentalthrough differential exposure to chemicals, environmental toxins, and diet
Systems Biology Deciphering Complexity
Human Biology
p g p y
P
Genomics Stem Cell
P
H
Y
PREDICTIVE DIAGNOSIS
TranscriptomicsSingle Cell
Stem Cell
Y
SPERSONALIZED
DRUGS
ProteomicsPhysiome
e
Stem
I
O
REGENERATIVE MEDICINE
Metabolomics Cell M
E
VACCINES
Systems Biology: Early Results InTargeted Cancer Treatments
HumanBiology
GenomicsStem
Polycythemia Vera (PV)
StemCells
First Drug in Man From Stem Cell Research for Blood Cancers
JAK 2 mutation
Development Status
Entering Final Phase of FDA Testing for Meylofibrosis/PV TargeGen, Inc. (acquired by Sanofi‐Aventis (2010)
Regenerative MedicineEarly But Promising
Stem
HumanBiology
Genomics y g
• Stem Cells
StemCells
– “Disease in a dish” – iPS disease models*– Drug safety testing – Cardiac Toxicity– First human stem cell treatments underwayy
• Gene Therapy– Common Diseases (heart failure)
• Tissue Engineering• Tissue Engineering– Beyond Cosmetics (Bladders)
*A Model for Neuronal Development and Treatment of Rett Syndrome Using Human iPS Cells; Marchetto, M.C. et al ; Cell 143 (2010)
A Paradigm Shift is RequiredTo Impact Healthcare Costs & Outcomes
HealthcareSystem
CURRENT (Reactive)
•Reactive to diseaseFUTURE (Preventive)
•Preventive
(1)
Healthcare System
•Ineffective drugs
•Fragmented care with
i i ti
•Predictive
•Personalizedperverse economic incentives
•Non participating •Participatory
(1) Lee Hood, P4 Medicine Institute for System Biology
Transformation of Medicine to an Information Science
HealthcareSystem
n
The “Learning” Healthcare System
timization
“Value” Based Personalized
Healthcare System
Value Opt
Evidence Based Medicine
Personalized Healthcare
ealth
care V
Trial & Error Medicine
Medicine
H
Medicine Man Genomic Doctor Holistic Healthcare Team
Integration of healthcare R&D and delivery with information technology
A “Learning Healthcare” System Challenge of Integration
HealthcareSystem
IT Technologies Life Science Advances
Reliable Data/EMR
Interoperability
Longitudinal Outcomes
R&D Productivity
Predictive Biomarkers
Personalized Medicines
Imaging Integration Preventive Care
Government Mandates
Patient Protection & Affordable Care Act
Accountable Care Organizations
Patient Centric
Patient Centric Care
Patient ComplianceAccountable Care Organizations
Holistic Care Co‐ordination
Re‐aligned Incentives in Re‐imbursement
Patient Compliance
The Medical Home
Technology Already Driving Change In Healthcare Delivery Today
HealthcareSystem y y
• Changing Role of Healthcare Providers– Online on Demand Physician Consultationy
• Changing site of care ‐ The Medical Home– Personal Diagnostic Sensors with Wireless Body Networks
• Changing Role of Patients from Passive to Active consumer– Patient centric healthcare system
Patient Centric HealthcareRequires Compliance
Patient centric healthcare COMPLIANCE a very old problem of human nature
•Only 54% of women with insurance get recommended i (84% if li i k i )screening mammograms (84% if clinic @ worksite)
•20‐30% prescriptions never filled
•Only 50% complete prescribed course of drug therapy
•Most never complete exercise fitness plansp p
Changing Consumer Behavior Tough, But… Can Be Doneg
• Seat Belt Laws• Seat Belt Laws
• Smoking Bans
• Dating – Through Social Media & Internet
Changing Incentives Can Change Patient BehaviorHealthcare
System g
• Motivate ParticipationG f i h i i i i ill k– Government payer reforms without patient participation will not work
– Patient Protection & Affordable Care Act (2010) mandates expanded coverage – Non participation results in tax penalty
• Incentive Based Patient Economics– Reward wellness by differential insurance premiums– Educate on avoidable diseases from smoking and obesity
• Develop Digital Tools to Educate and Monitor the Health of Individuals– Allow access to patients electronic medical records (personal health records)
H di ti i l l t d t id (CHF)– Home diagnostics wirelessly connected to care providers (CHF)– Quantified Self tracking – encourage data collection
Can Congress Make You Buy Broccoli?And Why That’s a Hard Question(1)
“If the federal government can requireIf the federal government can requirepeople to buy insurance in order to keeppremiums affordable, could it also requirepeople to buy baby aspirin or a gymmembership to keep those premiumsaffordable, on the theory that using theseproducts reduces the use of health careservices and thus insurance costs?”services and thus insurance costs?
Federal Patient Protection & Affordable Care Act Debate
(1) W.K.Mariner, G.J. Annas, and L.H.Glantz; NEJM 364:3, Jan. 20, 2011
Technology Enabling Patient Participatory Healthcarep y
• Social NetworksDi Bl t d– Disease Blogs support groups encourage awareness and motivate patients to action
• Quantified Self‐Movement– Wireless Sensors Monitoring Deviation from Healthy
Status and changing behaviorStatus and changing behavior – A Flood of Risk Data Imagined and Real
UCSD ‐mDiet
• Patient interpretation and utilization of data a
UCSD mDiet
challenge and opportunity
Consumer DNA Testing –A Case Study
•Data by itself does not necessarily change consumer behavior
OutcomeMeasure Baseline Score Follow‐up Score P Value
A iety 35 2+9 6 34 6+10 0 0 80Anxiety 35.2+9.6 34.6+10.0 0.80
Dietary fat intake 16.0+7.9 15.2+7.5 0.89
Exercise 28.6+23.0 28.6+22.9 0.61
Outcome Measures before and after Receipt of Results of Genetic TestingOutcome Measures before and after Receipt of Results of Genetic Testing. (n=2037) (1)
•Actionable data that motivates patient behavioral change is the
(1) Effect of Direct‐to‐Consumer Genomewide Profiling to Assess Disease Risk. Cinnamon S. Bloss, PhD, Nicholas J. Schork, PhD, and Eric J. Topol, MD. NEJM: 364;6, Feb. 10, 2011
p gHoly Grail
Healthcare’s Challenge and OpportunityTurning Data into Knowledge
• Data will drive cost effective care• WHO will generate the data• WHO will interpret the data• WHO will own the data
• How will the US compete in the digitally flat world?M di l T i (750 000 A i )• Medical Tourism (750,000 Americans)
• Beijing Genomics (4,000 Employees)
• Tremendous opportunity for academic industrial collaborations especially in the early stages requiring multidisciplinary teamsmultidisciplinary teams
Future Personal Health RecordsThe Hope and Promise of Integrating All Data
Obesity susceptibility Physician Order Form 2020
gene screen
CBC – with Single Cell WBC ProfileWBC Profile
Pancreatic Methylome
3,000 Serum Protein Profile
Video consult –toxicogenomics exposuretoxicogenomics exposure
Systems Check of Quantified Self Sensors
•Analyses deviation from health
•Recommends personalized care options
3D MRI with biomarkers to rule out Alzheimer’s
p
•Data at physicians fingertips
Optimization of Health
EnvironmentEnvironment
PATIENT Life Human A IEPARTICIPATION
Life StyleHuman Biology StyleHumanBiology
Healthcare SystemHealthcareSystem
“Very nice resume. Leave a sample of your DNA with my secretary.”p y y y
The New Yorker Cartoon