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DISRUPTING THE 
HEALTHCARE BUSINESS MODEL 
Arta Struga, Corey Dolik, Nina Jaklian, David Kolapudi 
1
The Problem 
Sources: #1, #2 HLTH 807 2
The Opportunity 
Source: #1 HLTH 807 3
The Environment 
HLTH 807 4 
❖ Ethics 
❖ Business 
❖ Regulatory 
Source: #1
Healthcare’s Paradigm Shift 
Source: #1 HLTH 807 5
Big Data & Precision Medicine 
HLTH 807 6 
Opportunities to Leverage: 
❖ Powerful decision making resource 
❖ Enable better treatments and drugs 
❖ Leverage Precision Medicine 
❖ Reduce medical costs 
❖ Delivering optimal health care 
outcomes with fewer risks 
❖ Better select disease targets 
Source: #1, #2
Technology Assumptions 
7 
❖ Centralized Information System that facilitates and promote the use 
of Electronic Health Records (EHR) 
❖ EHR access to facilitate coordinated care 
➢ Primary patient stakeholders 
➢ Hospitals 
❖ Identification major diseases and issues, and their effective and 
economical treatments. 
Source: #1 HLTH 807
Source: #1 HLTH 807 8
Technology Environment: Are we ready? 
9 
❖ Primed for implementation 
➢ 40% Projected 
Annual Growth 
in Data Created 
❖ Training & Education 
❖ Available Resources & 
Factors of Production 
Source: #1 HLTH 807
Business Model Transformations 
10 
❖ Static, One-Way Interaction 
❖ Reactive 
❖ Information Overload 
❖ Trends 
❖ Resource Demanding 
★ Dynamic, Multifaceted 
Engagement 
★ Proactive 
★ Structured Knowledge 
★ Predictive Analytics 
★ Coordinated Care 
Source: #1 HLTH 807
11 
Business Model 
Source: #1 HLTH 807
Source: #1 HLTH 807 12
Stakeholders 
HLTH 807 13 
❖ Payers 
❖ Providers 
❖ Patients 
❖ Regulators 
❖ Research & 
Academic 
Community 
Source: #1, #2, #3, #4
Challenges for Big Data & Precision Medicine 
14 
❖ Privacy issues 
❖ Data silos 
❖ Regulatory 
❖ Funding 
Source: #1, #2 HLTH 807
OME at UCSF 
15 
❖ Platform for key stakeholders to create solutions together 
❖ Breaking down silos and encouraging collaboration. 
❖ http://www.ucsf.edu/welcome-to-ome 
Source: #1 HLTH 807
BWH Precision Medicine Committee 
16 
❖ Internal Disruptor 
❖ Infrastructure v.s. Repository 
❖ Data must be useful 
Source: #1, #2 HLTH 807
IBM’s Watson 
17 
❖ Robot that may become the “smartest doctor in the world” 
❖ The basic premise of predictive analytics 
❖ https://www.youtube.com/watch?v=Y_cqBP08yuA 
Source: #1 HLTH 807
THE FUTURE OF HEALTHCARE 
18 
Arta Struga, Corey Dolik, Nina Jaklian, David Kolapudi 
Source: #1, #2 HLTH 807

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Disrupting the Health Care Business Model

  • 1. DISRUPTING THE HEALTHCARE BUSINESS MODEL Arta Struga, Corey Dolik, Nina Jaklian, David Kolapudi 1
  • 2. The Problem Sources: #1, #2 HLTH 807 2
  • 3. The Opportunity Source: #1 HLTH 807 3
  • 4. The Environment HLTH 807 4 ❖ Ethics ❖ Business ❖ Regulatory Source: #1
  • 5. Healthcare’s Paradigm Shift Source: #1 HLTH 807 5
  • 6. Big Data & Precision Medicine HLTH 807 6 Opportunities to Leverage: ❖ Powerful decision making resource ❖ Enable better treatments and drugs ❖ Leverage Precision Medicine ❖ Reduce medical costs ❖ Delivering optimal health care outcomes with fewer risks ❖ Better select disease targets Source: #1, #2
  • 7. Technology Assumptions 7 ❖ Centralized Information System that facilitates and promote the use of Electronic Health Records (EHR) ❖ EHR access to facilitate coordinated care ➢ Primary patient stakeholders ➢ Hospitals ❖ Identification major diseases and issues, and their effective and economical treatments. Source: #1 HLTH 807
  • 9. Technology Environment: Are we ready? 9 ❖ Primed for implementation ➢ 40% Projected Annual Growth in Data Created ❖ Training & Education ❖ Available Resources & Factors of Production Source: #1 HLTH 807
  • 10. Business Model Transformations 10 ❖ Static, One-Way Interaction ❖ Reactive ❖ Information Overload ❖ Trends ❖ Resource Demanding ★ Dynamic, Multifaceted Engagement ★ Proactive ★ Structured Knowledge ★ Predictive Analytics ★ Coordinated Care Source: #1 HLTH 807
  • 11. 11 Business Model Source: #1 HLTH 807
  • 12. Source: #1 HLTH 807 12
  • 13. Stakeholders HLTH 807 13 ❖ Payers ❖ Providers ❖ Patients ❖ Regulators ❖ Research & Academic Community Source: #1, #2, #3, #4
  • 14. Challenges for Big Data & Precision Medicine 14 ❖ Privacy issues ❖ Data silos ❖ Regulatory ❖ Funding Source: #1, #2 HLTH 807
  • 15. OME at UCSF 15 ❖ Platform for key stakeholders to create solutions together ❖ Breaking down silos and encouraging collaboration. ❖ http://www.ucsf.edu/welcome-to-ome Source: #1 HLTH 807
  • 16. BWH Precision Medicine Committee 16 ❖ Internal Disruptor ❖ Infrastructure v.s. Repository ❖ Data must be useful Source: #1, #2 HLTH 807
  • 17. IBM’s Watson 17 ❖ Robot that may become the “smartest doctor in the world” ❖ The basic premise of predictive analytics ❖ https://www.youtube.com/watch?v=Y_cqBP08yuA Source: #1 HLTH 807
  • 18. THE FUTURE OF HEALTHCARE 18 Arta Struga, Corey Dolik, Nina Jaklian, David Kolapudi Source: #1, #2 HLTH 807