disrupting the health care business model

DISRUPTING THEHEALTHCARE BUSINESS MODELArta Struga, Corey Dolik, Nina Jaklian, David Kolapudi

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The Problem

HLTH 807 2Sources: #1, #2

The Opportunity

HLTH 807 3Source: #1

The Environment

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❖ Ethics

❖ Business

❖ Regulatory

Source: #1

Healthcare’s Paradigm Shift

5Source: #1 HLTH 807

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

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

8Source: #1 HLTH 807

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

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

12Source: #1 HLTH 807

Stakeholders

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❖ Payers

❖ Providers

❖ Patients

❖ Regulators

❖ Research &AcademicCommunity

Source: #1, #2, #3, #4

Challenges for Big Data & Precision Medicine

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❖ Privacy issues

❖ Data silos

❖ Regulatory

❖ Funding

Source: #1, #2 HLTH 807

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

BWH Precision Medicine Committee

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❖ Internal Disruptor

❖ Infrastructure v.s. Repository

❖ Data must be useful

Source: #1, #2 HLTH 807

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

THE FUTURE OF HEALTHCARE

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Arta Struga, Corey Dolik, Nina Jaklian, David KolapudiSource: #1, #2 HLTH 807