disrupting the health care business model
TRANSCRIPT
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DISRUPTING THEHEALTHCARE BUSINESS MODELArta Struga, Corey Dolik, Nina Jaklian, David Kolapudi
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The Problem
HLTH 807 2Sources: #1, #2
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The Opportunity
HLTH 807 3Source: #1
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The Environment
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❖ Ethics
❖ Business
❖ Regulatory
Source: #1
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Healthcare’s Paradigm Shift
5Source: #1 HLTH 807
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Big Data & Precision Medicine
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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
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Technology Assumptions
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❖ 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
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8Source: #1 HLTH 807
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Technology Environment: Are we ready?
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❖ Primed for implementation➢ 40% Projected
Annual Growthin Data Created
❖ Training & Education
❖ Available Resources &Factors of Production
Source: #1 HLTH 807
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Business Model Transformations
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❖ Static, One-Way Interaction
❖ Reactive
❖ Information Overload
❖ Trends
❖ Resource Demanding
★ Dynamic, Multifaceted Engagement
★ Proactive
★ Structured Knowledge
★ Predictive Analytics
★ Coordinated Care
Source: #1 HLTH 807
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Business Model
Source: #1 HLTH 807
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12Source: #1 HLTH 807
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Stakeholders
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❖ Payers
❖ Providers
❖ Patients
❖ Regulators
❖ Research &AcademicCommunity
Source: #1, #2, #3, #4
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Challenges for Big Data & Precision Medicine
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❖ Privacy issues
❖ Data silos
❖ Regulatory
❖ Funding
Source: #1, #2 HLTH 807
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OME at UCSF
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❖ 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
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BWH Precision Medicine Committee
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❖ Internal Disruptor
❖ Infrastructure v.s. Repository
❖ Data must be useful
Source: #1, #2 HLTH 807
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IBM’s Watson
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❖ 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
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THE FUTURE OF HEALTHCARE
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Arta Struga, Corey Dolik, Nina Jaklian, David KolapudiSource: #1, #2 HLTH 807