Big Data applications in Health Care
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The document discusses the transformative impact of big data and technology on the healthcare industry, highlighting the importance of data variety, volume, and velocity. It emphasizes the role of technology-driven self-care and predictive analytics in enhancing patient outcomes, along with evolving responsibilities of health professionals. Additionally, it outlines the applications of healthcare data across different demographics, such as millennials, families, and seniors, focusing on personalized care and improved patient-provider interactions.
Big Data applications in Health Care
- 2. Big Data Applications in Health Care Leo Barella
- 3. Without data, you’re just another person with an opinion - W. Edwards Deming
- 5. Horse & Buggy Automobile Mechanics & Body Shops Fuel Injectors GPS & Smart OBD Self-driving Vehicles
- 6. Automobile Mechanics & Body Shops Fuel Injectors GPS & Smart OBD Self-driving Vehicles Hospitals & ClinicsVillage Doctor Specialists Web Intelligence Healthcare IoT & Genomics Technology-enabled Self Care
- 7. Other Industry Comparisons Flight Buying Car Insurance Car Buying Match making
- 8. Explosive Spending in Health Care Tech Health care market is a $3Trillion dollar industry
- 9. Additional Data-driven Conditions that Impact Population Health Environment Food & Retail IndustryExercise Socioeconomics Psychology
- 10. Variety Velocity Volume Heart Rate Blood Pressure VO2 Max pH Balance Glucose Lactic Acid Temperature Sleep Cortisol Genome Blood Comp Body Comp Weight Hydration GPS Air Quality Pollution Humidity EMF Water Purity Monthly Daily Real-time Terabyte Petabyte Exabyte
- 12. Areas of Focus for the 3 Vs in Health The more information consumers put out there via the Internet of Things, the more services they can leverage WELLNESS PERSONALIZED MEDICINE CARE DELIVERY COST TRANSPARENCY
- 14. Evolving Roles of Health Professionals • Physician as manager, rather than repository of medical knowledge • Greater reliance on HIT for decision support • Improved care through use of aggregate patient data • Highly networked, team based care • New ethical & legal issues/quandaries Providers
- 15. Evolving Roles of Health Professionals • Uncertain economics of drug development & commercialization • Regulatory mandates could disrupt development budgets & market plans • “Personalization” of drugs will require partnering with diagnostics companies Pharma
- 16. Payers Evolving Roles of Health Professionals • Greater emphasis on clinical validity & utility of diagnostic tests • Increased need to demonstrate cost efficiencies • Proactive strategies to limit reimbursement • Increased pressure to change paradigm towards preventive medicine
- 17. Healthcare Data Applications Millennials • Predictive premiums • Activity/lifestyle-based premiums • Gamification • Social communities • Advanced payment systems • Tele-health • Communication channels between patient/provider (appointment booking, claims paying, auto-pharma refill, messaging, health record portals) Provide Value through Convenience & Experience
- 18. Healthcare Data Applications Families • Care convenience (rent-a-device) • Remote care • Retail buying pattern integration • Diagnostic integration • Predictive provider recommendations • Communication channels between patient/provider (appointment booking, claims paying, auto-pharma refill, adherence notifications, pediatric alerts) Provide Value through Understanding Patients & Predicting Needs
- 19. Healthcare Data Applications Seniors • Advanced Welcome Packages • Enhanced walkthroughs/tutorials of benefits & portals • Medication Management • Outreach programs • Communication channels between patient/provider (appointment booking, claims paying, auto-pharma refill, adherence notifications, immobility alerts) Provide Value through Education & Improving Quality of Life
- 20. The Next Generation of Healthcare Increasingly predictive analytics and consumer-centric health systems will improve quality of life with personalized care.
- 21. Leo Barella Share your ideas with me Leo Barella @LeoBarella333
Editor's Notes
- #6: Chris – Please animate Be sure to touch on the 3vs for each analogy
- #7: Be sure to touch on the 3vs for each analogy
- #8: Chris - divide into 4 squares/sections and update car insurance graphic Health insurance – Progressive supplies its members with OBD tools to change behaviors and offer lower premiums. How can Health Insurance apply the same principles? Ethics-based source of truth for data (Government?) Companies should focus on data integration vs ownership Trackable behaviors linked to health insurance premiums Capture a 4D view of patients
- #10: Environmental (pollution, zero emission cars, data-based competitions for the “cleanest” state) Socioeconomics (developed vs under-developed neighborhoods) Food & Retail Industry (purchasing patterns) Exercise (Gym memberships, wearable devices, sports & athletics) Psychology (Behavioral health, IQ tests, religious belief)
- #14: How Can We “Uberize” Health Care to ultimately improve the quality of life? Deregulation to a focus on consumerism. Uber phenomenon was driven by cost, was design around the system and not the consumer. ACA did not address the cost, but was designed around accountability. Consumers will eventually revolt and fixate on systems that are personalized Need an eHarmony of MDs
- #21: Additional notes: We will rely more on specialized applications and less on the expertise of the doctor.