“big data, little data & everything in between”€¦ · webex support 1-866-223-3239 event...

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Slide Deck: goo.gl/u6nsd

“Big Data, Little Data & Everything In Between”

A Complimentary Webinar From healthsystemCIO.com,

Sponsored By Optum

Your Line Will Be Silent Until Our Event Begins

Thank You!



Housekeeping

• Moderator – Anthony Guerra, editor-in-chief, healthsystemCIO.com

• Ask A Question• We will be holding a Q&A session after the formal presentations.

• You may submit your questions at any time by clicking on the QA panel located in the lower right corner of your screen, type in your questions in the text field and hit send.

• Please keep the send to default as “All Panelists.”



Housekeeping

• Download the Deck • Go to: http://healthsystemcio.com/presentation/big-data-little-data-webinar.pdf

• Shortened link below appears on all slides.

• View the Archive• You will receive an email notification when our archive recording is ready.

• Separate registration is required.

http://healthsystemcio.com/presentation/big-data-little-data-webinar.pdf



Agenda

• Daniel Morreale, VP/CIO, Riverside Health Care (12 minutes)

• Chuck Podesta, SVP/CIO, Fletcher Allen Healthcare (12 minutes)

• A Word From Our Sponsor: Rodney Cain, VP of Strategic Initiatives, Product Strategy, Optum (5 minutes)

• Q&A (20+ minutes)



Big Data, Little Data & Everything In Between

Daniel Morreale, VP/CIO, Riverside Health Care



Big Data, Really?



Healthcare Does Not Know Big Data



That’s Big Data



This Is Not Big Data



Zeros In Bytes



Just because there is a lot of data does not mean it is meaningful

Just because data is available does not mean it is useful

Just because the data is there does not mean we have the capacity to use it



For The Community Hospital Is It About Big Data or Just Basic Analytics?

Big Data

Analytics



Desire, Data and Doubt

• Big Data is the desire for new insights.

• Big Data bursts the limits of the dialogue.

• Big Data drives down doubt.



Analytics



Big Data is Predictive and Demands No Specific Result

Analytics is Retroactive and Seeks a Specific Answer



I Want To Know



The True Meaning of Data is That We Master Its Value




Chuck Podesta, SVP/CIO, Fletcher Allen Health Care



Who We Are

• 562 Bed Academic Medical Center in Burlington, VT.• Vermont’s only Academic Medical Center and Tertiary Care Center• Serving over 1 Million people in VT and Northern New York• Affiliated with University of Vermont College of Medicine & College of

Nursing/Health Sciences• 850 Credentialed Providers and 280 Residents• 450 Employed Providers in University of Vermont Medical Group• Affiliation with Central Vermont Medical Center to create Fletcher Allen

Partners• Affiliation with Champlain Valley Physicians Hospital and ElizabethTown• OneCare LLC (ACO) – January 1, 2013



OneCare Vermont NetworkStatewide ACO Provider Network• 2 Academic Medical Centers• 13 Community Hospitals• 1 Behavioral Health/Substance Abuse Facility• 2 Federally Qualified Health Centers• 5 Rural Health Clinics• 58 Private Practices

• 280 Primary Care Physicians across Network Participants

• Approximately 42,000 attributed Medicare beneficiaries



Big Data – What We Know About The Whole

• Volume• More is better

• Timeliness or Velocity• You wouldn’t cross the road with a 5 min old snapshot of traffic

• Variety• From many sources both structured and unstructured

• 80% of the time is spent cleaning it up



Little Data – What We Know About The Individual

• The Variety Part of Big Data

• One account

• One person

• One transaction

• One customer

• Nike, FitBit

• Tracks activity and sleep



Big Data and Little Data – A Symbiotic Relationship

Big Data without Little Data Becomes big brother – Web Ads

Little Data without Big Data Becomes un-actionable

FitBit Example

Collects information on you but is not prescriptive

It cannot alone tell you what you should be doing based on the data collected



Big and Little Data Working Together

• Netflix• Uses Hadoop to graph traffic patterns for all subscribers

• Uses Little Data to optimize video delivery for each subscriber

• Amazon• Analyzing shopper transactions

• Uses Little Data to personalize experience

• Banks• Analyzing billions of transactions to detect fraud

• Uses Little Data to suspend individual account



Big Data Maturity in Healthcare



ACOs - Big and Little Data Challenges in Healthcare

• EHR Data is Typically 100% Proprietary• Little data not easily usable outside the system it was first created in

• 80% unstructured

• Combining Little Data with Big Data Requires an HIE Strategy• Multiple EHRs in play

• Claims Data Lagging• Remember Velocity



Data Governance

• Data Integration Management Group (DIMG)• Representation from Quality, Finance, EHR, Planning, Research

• Create inventory of source data

• Create pathways to link disparate data sources and normalize it

• Institute best practices regarding MDM

• Develop policies to govern release, use, and disposal of data

• Evaluate resources, infrastructure and tools

• Publish a report inventory

• Common nomenclature for data terms, definitions, and calculations



ACO - Combining Big Data with Little Data

Patient Registries

Real-time Alerts with Retrospective Review

Risk Stratification and Predictive Modeling

Cost effective interventions

Care Management

Identify care gaps and alert

Network Performance

Identify providers using the most resources

Identify providers following evidence based guidelines

CMS 33



OneCare Vermont “BigData” Roadmap

1/1/2013 7/1/2013 2014+

Phase IACO Business Intelligence

Phase IIClinical Process Workbench

Phase IIIPopulation HIE

ACO Data Trust and Reporting

• Attributed Beneficiary File

• Population Claims File

• ACO Provider/Participant

File

• 33 Quality Measure File

(unpopulated repository)

• Standard Reports

• Ad hoc query and custom

report capability

• Multi-level performance

benchmarking by region

Advanced Clinical Capabilities

• Interface with HIE for clinical

elements

• Automated calculation of

applicable quality measures

• Patient registries for disease

state, risk level, and shared

decision making opportunity

• Population/panel care

management workbench and

workflow support

Population Informatics

• Integrated with point-of-care

EHRs

• Architecture and process for

access to full patient-centered

encounter and clinical results from

all members

• Predictive Analytics




Rodney Cain

VP, Product Strategy, Health Information Exchange,

Optum



Figuring out where you are,and where you need to go

Managing population health is a unanimously applauded goal. But, in practice, it means a lot of different things. And it’s hard to do it successfully.

• Talk about your system’s approach to population health management.

• How do you balance cost vs. quality?

• Where have you been able to make the biggest impact? Why?

• What hurdles still lie ahead?

• What do you need to clear the hurdle?



Does higher spending buy better quality?Generally not.

• A key policy question is whether spending on health care

tends to buy better quality outcomes.

• And, conversely, is better quality associated with lower costs?

• No, not in general.

• We examined different measures of quality for the Medicare

and commercially insured populations and find no relationship

between the level of spending and quality of care in a

community.

• Correlation is virtually zero (ρ = -0.06)

Quality of Care, Commercially Insured

Per

-cap

ita

cost

What’s the secret behind these high-performing communities? Data from UnitedHealth Group commercial claims as analyzed by Optum Communities = Hospital Referral

Regions, as defined by Dartmouth Health Atlas



What differentiates cost and quality?

Communities with higher costs have

• Poor health behaviors

• Integration ? -- mixed

Communities with lower costs have

• Greater social capital: education, literacy,

charitable organizations

• More economic resources, employment

• Better-aligned incentives; accountable care

Communities with higher quality have

• Higher social capital

• Stronger incentives and alignment

• Perhaps more advanced HIT adoption

Communities with lower quality

• Poor health behaviors

• Less incentive alignment

Co

sts

Qu

alit

y



Navigating the journey from providing care to managing healthWith in-depth payer and provider expertise, Optumhelps navigate compliance, reimbursement and reform requirements that span the health care system.

Providing Care

Quality

Patient Satisfaction

Cost

Managing Health

Patient AccessMedical

NecessityReimbursement

Clinical CareCoding and

Documentation

Financial and

Clinical Analytics

Population

Health

Management

Care Delivery

Model

Aligned Incentives

We drive financial performance, enable compliance, and deliver health intelligence for the health care provider community, increasing quality and patient satisfaction while lowering cost.



Q&AClick on the QA panel located in the lower right corner of your screen, type in your questions in the text field and hit send. Please keep the

send to default as “All Panelists.”

Download Today’s Slide Deck @ http://healthsystemcio.com/presentation/big-data-little-data-

webinar.pdf

http://healthsystemcio.com/presentation/big-data-little-data-webinar.pdf



Thank You!• You will receive an email notification when our archive recording is

ready. (Separate registration is required)

• Questions/Comments – Anthony Guerra [email protected]

• Thanks to our sponsor, Optum!

Go to www.healthsystemCIO.com/webinars to view our upcoming schedule, and see archived events.

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