"data-driven healthcare", alejandro (alex) jaimes, cto & chief scientist at acesio
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Data Driven Healthcarein Environmental Public Health
Alejandro (Alex) Jaimes, Ph.D. CTO & Chief Scientist
How Much Data Does a Doctor See in Their Lifetime?
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A Global Problem
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● 12.6 Million people died from living in unhealthy environments in 2012
● 1 in 4 global deaths
A Global Problem
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● 12.6 Million people died from living in unhealthy environments in 2012
● 1 in 4 global deaths
A Global Problem
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● 12.6 Million people died from living in unhealthy environments in 2012
● 1 in 4 global deaths
Healthcare is Based on Data (and models)
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● Medical Doctors undergo lengthy training
● Typical doctor visit
•Data collected
•Model matching
•Diagnosis
•Action
How Much Data Does a Doctor See in Their Lifetime?
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2.5 quintillion terabytes of health data is generated every day
…. but let’s look at context
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What Factors Affect Our Health?
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● the social and economic environment,
● the physical environment, and
● the person’s individual characteristics and behaviours.
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WHO: Determinants of Health
● Income and social status - higher income & social status, better health.
● Education – low education levels are linked with poor health, more stress and lower self-confidence.
● Physical environment – safe water and clean air, healthy workplaces, safe houses, communities and roads all contribute to good health.
● Employment and working conditions – people in employment are healthier, particularly those who have more control over their working conditions
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WHO: Determinants of Health
● Social support networks – greater support from families, friends and communities is linked to better health. Culture - customs and traditions, and the beliefs of the family and community all affect health.
● Personal behaviour and coping skills – balanced eating, keeping active, smoking, drinking, and how we deal with life’s stresses and challenges all affect health.
● Health services - access and use of services that prevent and treat disease influences health
● Genetics, gender, ..
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WHO: Determinants of Health
● Transport
● Food and Agriculture
● Housing
● Waste
● Energy
● Industry
● Urbanization
● Water
● Radiation
● Nutrition and health
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WHO: Evidence Base of Health Determinants
● Transport
● Food and Agriculture
● Housing
● Waste
● Energy
● Industry
● Urbanization
● Water
● Radiation
● Nutrition and health
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The World is Increasingly Connected
Travel
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Environmental Public Health: Overview
Publ
ic He
alth
Behavioral Science/ Health Education
Biostatistics
Environmental Health
Epidemiology
Health Services Administration
The branch of public health that focuses on both the natural and the built environments that affect human health
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Creating Value with Machine Learning
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PHARMACEUTICAL
CLINICAL
CLAIMS & COST PATIENT BEHAVIOR
Improved Disease Detection and Classification
Earlier Insights in Disease Progression
Efficient Triaging
Population Health Management
Better Health Outcomes
Health Expense Savings
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● Hospital
● Health System
● Government
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The Opportunity: 3 Levels
Case Study
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Challenges
PATIENT DATA
Environmental Public Health ChallengeData Silos | Data Duplication | Unidirectional Information | Static
Insights
PHARMACEUTICAL
CLINICAL CLAIMS & COST
PATIENT BEHAVIORExample Data
Factors• Drug Exposure/
History• Clinical Trials
Example Data Factors• Genetics• Medical Imaging• EMR: Medical
History
Example Data Factors• Utilization of Care• Cost Estimates
Example Data Factors• Lifestyle• Social networks• Socio-economic
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● Patient
● Hospital System
● Government
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The Opportunity: 3 Levels
● Patient
● Hospital System
● Government
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The Opportunity: 3 Levels
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
● Design● Algorithmic● Insights● Socio-cultural● Personal Insights
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Five Dimensions for Big Data
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