big data in the real world opportunities and challenges facing healthcare - v04b - slide share

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Eric SchmidtExecutive Chairman, Google

"From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two

days...and the pace is accelerating."

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Source: Gartner

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Big Data Categories

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Web & SocialMedia Data

Machine-to-Machine Data

Big TransactionData

BiometricData

Human-Generated Data

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The 3 Vs of Big Data

Volume90% of the data in the world

today was created within the last two years

VarietyPeople to people (e.g. social media)

People to machine (e.g. computers, mobile,

medical devices)

Machine to machine (e.g. sensors, GPS, barcode

scanner)

Velocity2.9 emails sent every

second

20 hours of video uploaded every minute

50 million tweets per day

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Industry Shifts in Data

Data is becoming the world’s new natural

resource

The emergence of cloudis transforming IT and

business processes into digital services

Social, mobile and access to data are changing how individuals are understood

and engaged

500 million DVDs worth of data is generated daily

1 trillion connected objects and devices by

2015

80% of the world’s data is unstructured

85% of new software is being built for cloud

25% of the world's applications will be available

in the cloud by 2016

72% of developers say cloud-based services are central to the applications

they are designing

80% of individuals are willing to trade their information for a

personalized offering

84% of millennials say social and user-generated

content has an influence on what they buy

5 minutes: response time users expect once they have

contacted a company via social media

IT Evolution Compared Healthcare

Exponentially

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Implications in Healthcare

Source: http://www.alphasixcorp.com/images/big-data-infograph.jpg

Megatrends Impacting Entire Spectrum of Care

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A Modern Health Care System is on the Horizon, Demanding a Paradigm Shift

FROM TO

One Size Fits All

Fragmented, One Way

Provider Centric

Centralized, Hospital-based

Fragmented, Specialized

Procedure-based

Treating Sickness

Personalized Medicine

Integrated, Two Way

Patient Centric

Decentralized, Community-based

Collaborative, Share Information

Outcomes-based

Preventing Sickness (Wellness)

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Connected Health Ecosystem

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RemoteMonitoring

General Healthcare IT (CIS

and Non-CIS)

Telemedicine mHealth

• Video Diagnostic Consultation

• Remote Doctor/Specialist Services

• Distance Learning/Simulation

• Retail Telehealth• Teleimaging

• Electronic Health Records (EHR)

• Health Information Exchange (HIE)

• Patient Portals• Hosted Cloud Infrastructure

• Home and Disease Management Monitoring

• Activity Monitoring• Diabetes Management• Wellness Programs• Remote Cardiac ECG• PERS• Medication

Management

• Professional Apps• Wellness Apps• Fitness Apps• Texting Informational

Services

Moving to the LeftBenefits of Proactive Mitigation of Disease Risk

Health Status 20 % of Population Generates80% of the Cost

VALUE COST

Healthy/Low Risk

At RiskHighRisk

ChronicDisease

Early Stage

ChronicDisease

Progression

End ofLife Care

Exponential Technologies

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EMPOWERING THE PATIENT

ENABLING THE PHYSICIAN

ENHANCING WELLNESS

CURING THE WELL…BEFORE THEY GET SICK

What Prevents Insurers from Effectively Using Data?

Inability to get to accurate, integrated data that can provide actionable insights.

Lack of a clear strategy and roadmap

Budget and resources

Data fragmentation

System fragmentation

Poor data quality

Data silos across departments

Inadequate analytic tools and skill sets

Overcoming the Gaps

Leadership commitment to data as a strategic asset

Long term commitment to drive health care value

Alignment with enterprise priorities

Dedicated resources to infrastructure and quality

Continuous improvement mindset

Strategic decisions consider data requirements

Operational decisions include data implications

Strategies • Implement a data governance framework

• Engage providers

• Foster competition and transparency

• Bake analytics into training

• Provide for flexibility in information transference

• When possible, choose in-house solutions over vendor-generated solutions

• Create simple, understandable tools such as dashboards for clinicians on the front lines to visualize incoming data.

• Don’t scale up, scale out

• Close the quality loop

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leo.barella@excellus.com

Leo Barella