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1 Integrating Population Health Analytics and the EHR Environment Session 87, March 6, 2018 Nina M. Taggart, MD, Senior Medical Director, Population Health and Payer Relations, Lehigh Valley Health Network Sameera Ahmed, Manager, Clinical and Business Analytics, Populytics
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Page 1: Integrating Population Health Analytics and the EHR ......Claims & clinical data are necessary to measure success in value-based contracts Select concepts that are most relevant and

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Integrating Population Health Analytics and the EHR EnvironmentSession 87, March 6, 2018

Nina M. Taggart, MD, Senior Medical Director,

Population Health and Payer Relations, Lehigh Valley Health Network

Sameera Ahmed, Manager, Clinical and Business Analytics, Populytics

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Nina M. Taggart, MD and Sameera Ahmed have no real or apparent conflicts of interest to report.

Conflict of Interest

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Agenda• Value Based Reimbursement

• Integrating Data Sources

• Integrating Analytics in the EHR

• Integrating Analytics into Organizational Culture and Population Health Strategy

• Outcomes and Metrics

• Keys to Success

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Learning Objectives• Describe the connection between analytics and success under risk-

based contracts

• Explain the benefits of organizations helping physicians engage with data and analytics through the EHR environment

• Discuss how physicians can be engaged with actionable data to improve outcomes

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A Complete Health Network

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Lehigh Valley Health Network Overview

• 8 Campuses

• 1 Children’s Hospital

• 160+ Physician Practices

• 17 Community Clinics

• 16 Health Centers

• 12 ExpressCARE Locations

• 81 Testing and Imaging Locations

• 18,000+ Employees

• 2,005 Physicians

• 834 Advanced Practice Clinicians

• 4,208 Registered Nurses

• 57,272 Admissions

• 212,897 ED Visits

• 1,838 Acute Care Beds

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Value Based Reimbursement

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FEE-FOR-SERVICE

QUALITY

INCENTIVES

FEE-FOR-SERVICE

SHARED

SAVINGS GLOBAL RISK

CONTRACTING

FEE-FOR-SERVICE

Present Near-Term Future

Fee-for-Value

Providers paid for

proactively keeping

populations healthy

Fee-for-Service

Providers paid for

treating an individual’s

health problem

FEE-FOR-

SERVICE

Transition of the Healthcare Industry to Value Based Reimbursement

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Alternative Payment Model

In 2015, HHS announced that it would like to see 50% of all Medicare payments transition to value based reimbursement by the end of 2018.

• MACRA drives clinicians there through MIPS

• APMs encourage innovation and increasingly emphasize delivery system through the progressive categories

Fee-for-

service (FFS)FFS link to

Quality and

Value

Alternative

Payment

Models (FFS

Architecture)

Population

Based

Payment

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Lehigh Valley Physician Hospital Organization (LVPHO)

• 1180 physicians

• 800 employed/aligned

• Independent total – 380

• Supports physician engagement and quality

improvement

• Provides effective, efficient and uniform measures

to support accountable care and population health

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Experience Managing Populations

Observations:

• The National Forecast is based upon the forecast of the yearly medical care cost trend by national authorities including Milliman, PWC, Kaiser and Mercer

• The LVHN Health Plan outperformed both it’s budget and the National Forecast of medical care cost trend in each of the fiscal years subsequent to the analytics launch

• There were cumulative savings of $55M when comparing actual medical care costs to what the medical care costs would have been based upon the National Forecast absent any data driven initiatives

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Value Based Contracts at LVHN/LVPHO

• By the beginning of FY 2018, over $1 billion in insurance-based claims (spend) is projected to be in value based contract arrangements with LVHN

• Evaluating MA & Medical Assistance

Payer Attributed LivesAccountable

Spend

Type of

ArrangementTotal at Risk

LVHN Health Plan (live) 24,000 $130M Full Risk Total Risk

MSSP (live) 40,000 $400MShared

Savings

50% of savings

above target

Commercial Insurer 1 (live effective 7/1/2016)

50,000 $250MLimited

Shared Risk

50% savings

above target,

loss capped at

$3M

Commercial Insurer 2(go-live 1/1/2018)

45,000 $350MMoving to

Full Risk

100% savings

or risk around

target

Commercial Insurer 3 (live)

10,000 $45MShared

Savings

50% savings

above target

TOTAL 163,000 $1,175M

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Foundations for Success: Managing Population Risk

CLINICAL & PHYSICIAN

ANALYTICS

Data-driven review of

populations to identify

and stratify risk to

reveal opportunities

and inform providers

FINANCIAL MANAGEMENT

Strategy to monitor

performance under

accountable care

arrangements

CLINICAL INTUITION AND

SUPPORT

Leverage the experience

of our clinical experts for

the benefit of your

strategic goals

DATA MANAGEMENT

Acquisition, integration

& maintenance of data

critical to the management

of populations

Successful population

health management to

thrive in value-based care

models

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• Integration must occur in three areas for successful Population Health Management:

Data sources (claims, EHR, socio-economic)

Analytics in EHR

Analytics as a part of the organizational culture and population health strategy

Integrating Population Health Analytics

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Integrating Data Sources

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• Success in VBR requires population health management across the care continuum

• Population health management requires data that gives a complete picture of the patients health

• Disparate data sources in health care

EHR systems

Claims

Socio-Economic

Self reported

Data Sources for Population Health Analytics

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• EHR

Provides clinical and social data, but no information on actual cost of care

Missing anything that happened outside of the health system

• Adjudicated Claims

Provides financial information, diagnoses, prescriptions – but not timely

• Matching the right information to the right patient

• Valuable insights come from both, yet both are traditionally not accessible in one system

Data Source Challenges

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Population Health Analytics

Clinical &

Social

Analytics

Population

Management

Analytics

Insurance

Analytics

Claims

Data

Clinical

Data

Care CoordinationOrganizational

Strategy

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High Risk Care Management/

PHO Liaison

Clinical data from EMR Claims data from Payer

Risk Scores & Predictive

Analytics

Registries

Practice Clinical Contact

Referral to interdisciplinary team

membersLinkage to community Resources

Continued education/care

coordination/gap closure

Supporting Care Coordination Process

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Integrating Analytics in the EHR

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• Clinicians work in clinical workflow systems, but actionable data may come from other systems or elsewhere in the record

• Data retrieval may be cumbersome, inefficient, or missed entirely

• Analysts need operational and outcomes metrics to monitor performance with value-based contracts

Integrate Analytics into the EHR

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• Sources of integrated predictive analytics and clinical workflow systems are separate

EHR is used as care management workflow tool

Registries created in BI tool outside of the EHR

• Process to access registries was inefficient and cumbersome

Challenges

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Registry Integration

• Application Programming Interface (API)

Secure, web-based interface

Enter code to request item, get the item back

Result set is raw data that can be used by other applications

Process is automated, removing manual effort involved with simple exports

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Enterprise Analytics

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Integration into Workflow

• Data driven work processes

• Directing resources to patients most at risk

• Registry development incorporating multiple data sources

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Integrating Analytics into Organizational Culture &

Population Health Strategy

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Data Driven Culture

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• Defining patient populations

Attribution vs Empanelment

• Clinical teams wanted all or none

All

o Wanted to understand everything about patients

o “Analysis Paralysis”

None

o Distrust of claims data

o Wrong metrics

o Not timely

Challenges

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Right Data, Right Use Case, Right Audience

• Clinical Analytics that use EHR

data to identify Gaps in Care,

High Risk Patients, etc.

• Risk Analytics that use Claims

Data to track prospective costs

and stratify risk

• Registries with patient level

profiles

• Predictive Analytics

• Easy to use Dashboards

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Analytic Dashboards

• 11 drillable analytic dashboards to

identify achievable opportunities

to improve overall population

health

• Create customized data segments

around demographic, financial

and health information to support

targeted initiatives including:

Clinical pathways

dashboards for COPD,

oncology, CHF & AFIB

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• Semi-Annual Practice-Based Group Incentive Plan: Designed to provide

physicians with incentives to meet the Triple Aim

• Measurement Categories

Better Care: CG CAHPs participation, Meaningful Use standards

Better Cost: Risk Adjusted ALOS, Risk Adjusted Episode Cost, Admissions and Readmissions, ED visits, and generic Rx Utilization

Better Health: Evidence-based Quality Measures, QI Projects

• Funding Sources: Include employer, payers & shared savings distribution

• CME Opportunities/Online Modules

Achieving Clinical Excellence® (ACE)

Clinical & Physician Analytics: Incentive Programs

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Achieving Clinical Excellence® (ACE) – Provider Portal

Clinical & Physician Analytics: Provider Portal

• Provider portal represents an opportunity to share results &

opportunities with providers in a secure environment

Physician progress to incentive goals are reported quarterly

Utilization and quality goals are highlighted for each practice

Member-specific care gaps are reported to drive compliance

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Engaging Our Workforce and Our Partners In Health

• Created a Population Health Academy

• Educational Programs for front-line clinicians and administrators to provide education on topics including:

Vision and Value of Population Health

Quality

Payer and Insurance innovations, metrics, and accountable care arrangements

Population health analytics

Pay-for-value reimbursement

We are on a journey to engage

more partners in this work

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Outcomes and Metrics

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Measure everything Operational efficiency

Pathway compliance

Population Health interventions

Access

• Outcomes

Quarterly review of financial performance under each accountable care arrangement

Dashboard review of ACA clinical trends

Performance on quality incentives by ACA

ROI on specific program performance

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Outcomes: LVHN Health Plan

Observations:

• The National Forecast is based upon the forecast of the yearly medical care cost trend by national authorities including Mill iman,

PWC, Kaiser and Mercer

• The LVHN Health Plan outperformed both it’s budget and the National Forecast of medical care cost trend in each of the fiscal years

subsequent to the analytics launch

• There were cumulative savings of $55M when comparing actual medical care costs to what the medical care costs would have been

based upon the National Forecast absent any data driven initiatives

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Quality Moves with Measurement & Alignment

Measure 7/15 – 6/16 7/16 – 6/17 Aligns with ACE

Adult BMI Assessment 44.10% 79.45% Yes

Appropriate Testing for Children with Pharyngitis 88.15% 89.04% Yes

Breast Cancer Screening 78.42% 78.55% Yes

Colorectal Cancer Screening 62.41% 66.10% Yes

Comprehensive Diabetes Care HbA1c (<8%) 42.57% 56.91% Yes

Statin Therapy for Diabetic Patients-Received 54.94% 58.47% No

Statin Therapy for Diabetic Patients-Adherence 80% 71.98% 71.25% No

Cervical Cancer Screening 74.48% 73.76% No

Use of Imaging Studies for Low Back Pain 75.32% 75.19% Yes

75th percentile or at least 6% improvement

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Outcomes: Medicare Shared Savings Program

• CY 2015

• 37K Attributed Lives

Program Structure

• CY 2016

• 40K Attributed Lives

Program Results

CY 2015

• Total claims cost $340M

• Final shared savings $11.2M

• Performance payment $5.5M

• Quality reported

CY 2016

• Total claims cost $378M

• Final savings $4.8M

• Performance payment $0*

• Quality 97.87% achieved

* Did not exceed MSR – saved CMS $$ but not enough to gain shared savings

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Outcomes: Commercial Accountable Care Arrangement

• Commercial Payer

• 55K Attributed Lives

Program Structure

• 7/1/2016 – 6/30/2017

• 50% Gain Share 30% Risk

Program Results

• Final Year End Trend Comparison (risk adjusted)

LVHN Medical Trend 2.24%

Peer Trend 5.74%

• Final Shared Savings

At mid-year ($4,085,540)

At program year end $7,431,949

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Keys to Success• Integrate Data

Claims & clinical data are necessary to measure success in value-based contracts

Select concepts that are most relevant and meaningful for population health management

• Integrate Analytics into EHR Workflow

Get analytics at the point of care

Make processes easier for care managers and clinicians

• Integrate Analytics into Organizational Culture and Population Health Strategy

Report to all levels of the organization

Provide incentives

Provide education

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Questions

Nina M. Taggart, [email protected]

Sameera [email protected]

Please complete the online evaluation of our presentation!


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