The document discusses disruptions in the healthcare business model, emphasizing opportunities in big data and precision medicine to enhance treatment outcomes and reduce costs. It outlines the need for a centralized information system for coordinated care among various stakeholders, while addressing challenges such as privacy issues and data silos. The future of healthcare is positioned to be driven by advanced technologies, predictive analytics, and collaboration among key stakeholders.

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

8. Source: #1 HLTH 807 8

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