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Physician Workshop Data Analytics. Minnesota e-health Summit June 12, 2014

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(1)

Physician Workshop – Data Analytics

(2)

Speakers:

Paul Kleeberg, MD

CMIO Stratis Health

David Marc

Assistant Professor, College

of St. Scholastica

Panelists

:

Bruce Penner, RN

Director of Quality, Integrity

Health Network

Christopher Murgic, IT

Director,

Edina sport Health &

Wellness

Jeffrey Scrivner, MD, Chief

Medical Officer

Scenic Rivers Health

Service

Nancy Mault, EMR

Director/QI Coordinator

Scenic Rivers Health

Service

(3)

Outline

• Why Analytics is important?

• What is Data Analytics?

• Small Groups:

– What is your experiences and challenges in

using Data Analytics?

• Panel Discussion:

– How we use Data Analytics

(4)

Minnesota

• …where all the

women are strong, all

the men are

good-looking, and all the

children are above

average

(5)

To prove it, one needs data

• “If you can not

measure it, you can

not improve it.”

– William Thomson

(Lord Kelvin) Lecture

on "Electrical Units of

Measurement" (3 May

1883) paraphrased

(6)

What is your role within your organization?

1. IT

2. Healthcare provider

3. Administrator

4. Health Information

Manager/Health informaticist

5. Other

0%

0%

0%

0%

0%

(7)

How would you describe the geographic area

where you work?

1. Rural

2. Urban

3. Suburban

4. Do not know

0%

0%

0%

0%

(8)

But it used to be different

• One patient, one

doctor

• One patient, one

(paper) chart

• Patients paid for their

care and judged the

value

• Population

management was not

a medical issue

(9)

Health Care Reform

• Moving away from an

episodic, fee for service

payment approach and

towards a coordinated

model that is focused on

delivering high-quality,

low-cost care across the

continuum of care.

(10)

Moving from Volume to Value

Health Plan Readiness To Operationalize Value-based Payment Models:

(11)

Payment Reform

• Attempted repeal of the Medicare Sustainable

Growth Rate (SGR)

– A move away from a fee-far-service (FFS) model to

one that rewards quality, efficiency, and innovation

– Named the PCMH as a supportive framework for

alternative value-based payment models that rewards

quality and value

• Commercial health plans increasingly transitioned

their PCMH “demonstrations” or pilots into a

standard business operation, incentivizing with

PMPM payments or care coordination fees

(12)

PQRS Value Based Reimbursement

• The Value Modifier Program (or Value-based

payment modifier program) will begin to be applied

to the CQM PQRS EP reporting of CQMs

– In 2015, it will apply to groups of physicians with 100

or more EPs and based on data from 2013

– In 2016 CMS will apply the Value Modifier to groups of

physicians with 10 or more EPs.

– By 2017, all physicians will be added

• The Value Modifier assesses

– quality of care furnished

– cost of that care under the Medicare Physician Fee

Schedule to determine EP CMS reimbursement levels

and will be either an up, down or neutral adjustment.

(13)

Total Accountable Care Organizations

by Sponsoring Entity

(14)

Total Accountable Care Organizations

Source: Leavitt Partners Center for Accountable Care Intelligence,

http://healthaffairs.org/blog/2014/01/29/accountable-care-growth-in-2014-a-look-ahead/

Accessed

(15)

Accountable Care Organizations by

Hospital Referral Region

(16)

Estimated ACO Covered Lives by

Hospital Referral Region

Source: Leavitt Partners Center for Accountable Care Intelligence,

http://healthaffairs.org/blog/2014/01/29/accountable-care-growth-in-2014-a-look-ahead/

Accessed

(17)
(18)

For Quality Improvement

• Patient list by

specific condition

• Decision Support

• Reporting Quality

Measures

(19)
(20)
(21)

REACH Data Analytics Survey

Between February 11th and March 27th,

REACH conducted a web-based survey

regarding the current state of data

analytics among its clients

(22)

Overall Responses and Demographics

Organization Type

<25

(23)
(24)
(25)

What is your current EHR software?

1. Allscripts

2. eClinicalWorks

3. Epic

4. GE / Centricity

5. Healthland

6. Meditech

7. NextGen

8. Other

0% 0% 0% 0% 0% 0% 0% 0%

(26)
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What are your organization’s top 3 barriers to

analyzing data? Pick 3 and push send

1. Analytic software

2. Cost

3. Data infrastructure

4. Data governance / policy

5. Data variety

6. Data source integration

7. Data volume

8. Security

(28)

Ranking Results

Points

Item

(29)

Analytic Tools used by

Organizations

(30)

Current State of Data Analytics

How well does your organization perform the following information and

analytic tasks?

(31)

Efficacy of Data Analytics

How effective is your organization at employing the following analytic

techniques?

(32)

Current State of Data Analytics

To what extent does your organization apply analytics to the following

activities?

(33)

Trust in Data, Analytics Strategy,

and Data Governance

(34)

Select the greatest skill gap within your

organization in dealing with data and analytics.

1. Statistical knowledge

2. Database management

3. Database architecture

4. Analytical software

knowledge

5. Analytical skills combined

with clinical knowledge

0 / 10

Cross-tab label

0%

0%

0%

0%

0%

1

2

3

4

5

(35)

The REACH survey found the

following:

(36)
(37)

In a nutshell

We collect a lot of data

We lack a skilled analytics workforce

Training is in high demand!

(38)

Key Health Alliance—Stratis Health, Rural Health Resource Center, and The

College of St. Scholastica.

REACH is a project federally funded through the Office of the National Coordinator, Department of Health and Human Services.

For more information, contact:

References

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