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Data & Strategy from an Managed Care Organization’s Perspective 1

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Page 1: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Data & Strategyfrom an Managed Care Organization’s Perspective

1

Page 2: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Pantelis KarnoupakisSr. Director, Value Based Payment Initiatives

Fidelis Care

[email protected]

Page 3: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Disclaimer

3

This training is an educational initiative designed to

improve providers’ knowledge of New York State’s Value-

Based Payment Roadmap initiatives. Any contracting

and/or reimbursement decisions are to be made by the

provider and their respective MCOs.

Page 4: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Agenda

4

Fidelis Overview

NYS VBP Roadmap

Fidelis Contracting Approach

Fidelis Data Strategy

Blinded Case Study

Data Sharing Challenges

Page 5: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

About Fidelis

Page 6: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Founded as New York State Catholic Health Plan in 1993

Became Centene’s New York plan in July 2018

Over 1.7 million members enrolled in 11 products

Operational in all 62 counties of New York

Regional offices located in New York City, Albany, Syracuse, Rochester, and Buffalo

Satellite offices in Suffern and Poughkeepsie & more than 20 community offices

throughout the State

4,569 employees statewide

2018 projected revenue of approximately $10.6 billion

Network of 77,300 Providers including:

15,000 PCP’s

59,000 Specialists

206 Hospitals

23 VBP signed arrangements

30+ additional providers engaged

6

About Fidelis

Page 7: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

7

Sources: Internal Reporting, Enrollment to Budget Report

Product Distribution

Page 8: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

New York State VBP Roadmap

Page 9: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

New York State VBP Roadmap

9

• Key document authored by the

State Department of Health

establishing principles,

guidelines, and standards for

VBP within NYS

• Updated periodically throughout

the DSRIP waiver period

• Defines types and levels of VBP

arrangements

• Specific to Medicaid

* Released 7/17/2018

Page 10: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

NYS VBP Roadmap Guidance: Types of VBP Arrangements

10

Ep

iso

dic

Arra

ng

em

en

ts

To

tal

Co

st

of

Care

Arr

an

gem

en

ts

Total Cost for

General Population

Total Cost for

Subpopulation(HARP, MLTC, HIV, IDD)

Integrated Primary

Care +

Chronic Bundles

Maternity Bundles

• Focus of Fidelis models

• All Medical, Dental, Vision, Pharmacy costs

included in measurement

• Follows Prometheus Grouper methodology

• Categorizes all related costs of an event

across a measurement year (IPC & Chronic)

or across a pregnancy (Maternity)

Page 11: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

NYS VBP Roadmap Guidance: Levels of VBP

11

Level 1: Shared Savings (and FFS)

• Underlying Fee contract remains in place; VBP model sits on top of current contract

• Shared savings model (Upside only): If performance beats target, savings are generated and shared

• Provider quality score impacts percentage of savings shared with Provider

Level 2: Shared Savings + Risk (and FFS)

• Underlying Fee Contract remains in place; VBP model sits on top of current contract

• Shared savings + Shared Risk (Upside / Downside): If performance beats target, savings are generated

and shared; if performance is worse than target, losses are generated and shared

• Due to the inclusion of downside risk, a larger percentage of upside savings are shared

Level 3: Global Capitation

• Upfront payment / percent of premium, with quality-based component

• Some providers may apply to be designated with Innovator Status• MCOs are expected to contract with Providers with Innovator Status for a Level 3 VBP arrangement

• Provider is eligible for up to 95% premium payment

• MCOs must delegate services to Provider – fully or partially, depending on the service

• Greater number of delegated functions = Greater percentage premium shared

Page 12: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

NYS VBP Milestones

12

SFY 2017-18

• 10% in VBP Level 1 or higher

• 1% penalty applied to the delta between the State milestone and MCO expenditure tied to VBP arrangements

SFY 2018-19

• 50% in VBP Level 1 or higher

• At least 15% in Level 2 or higher

• 2% penalty applied to the delta between the State milestone and MCO expenditure tied to VBP arrangements

• If MCO performance is under target for both milestones, the greater of the two penalties will be incurred

SFY 2019-20

• 80% in VBP Level 1 or higher

• At least 35% in Level 2 or higher

• 2% penalty applied to the delta between the State milestone and MCO expenditure tied to VBP arrangements

• If MCO performance is under target for both milestones, both penalties will be incurred

Page 13: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Fidelis VBP Approach

Page 14: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Fidelis Models

14

Level 1 TCGP

• Large-sized Provider Group Model: >10,000 attributed lives

• No downside risk

• Shared Savings

• Concurrent Risk Adjustment

• No cap

• Mid-sized Provider Group Model: 5,000 – 9,999 attributed lives

• No downside risk

• Shared Savings

• Concurrent Risk Adjustment

• “Symmetrical” cap

Level 2 TCGP

•Downside Risk

•Shared Savings/(Losses): Potential for greater percentage of savings

•Concurrent Risk Adjustment

•State Requirement: Minimum 3% symmetrical cap in first year, 5% in subsequent years

•State Requirement: If applicable, minimum 20% of losses must be passed to provider

MLTC Level 1

•LHCSA, CHHA, SNF contractors only

•Single State-calculated Quality Measure: Potentially Avoidable Hospitalizations

•Not Risk Adjusted

•Characteristics of a Level 0 VBP model, but considered Level 1 for MLTC

Facility Based Model

•Not dependent on attribution

•Developed to assist distressed hospitals retain State bonus funding

•Focuses on improvement of Potentially Preventable Event rates

•Considered “approved off menu”

Large-sized Provider

Group Model

Mid-sized Provider

Group Model

Attribution Size ≥10,000 lives 5,000 - 9,999 lives

Reconciliation Shared Savings Only Shared Savings Only

Risk Adjustment Concurrent Concurrent

State RequirementHigh quality = 40% of

savings, if generated

High quality = 40% of

savings, if generated

Fidelis Requirement No Cap “Symmetrical Cap”

Page 15: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Progression of a VBP Relationship

15

• Understand provider quality

initiatives and collaborate to

improve

• Discuss ad hoc data

requests that offer insights

into Provider initiatives

• Review MCO’s quality

initiatives and collaborate to

improve

• Social Determinants of

Health opportunities with

local Community Based

Organizations

• Connect MCO resources

with Provider VBP Leaders

• Provider Network Attestation

• 3M Provisioning

• Dashboard Training

• Reoccurring Meetings

Scheduled

• sFTP Setup

• Review VBP Readiness

• Discuss Provider Network

Structure

• Model Presentation

• Discussion of Risk

Adjustment and Risk

Mitigation Strategies

• Quality Measure Overview

• Data Presentation

• Signature

Negotiation Phase Onboarding Ongoing Relationship

Page 16: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Fidelis Data Strategy

Page 17: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

VBP Data Strategy & Approach

17

Ad Hoc Reporting

Raw Claims Data Extract

3M Data Platform

• Advanced Analytics

Platform

• Allows Providers to track

their performance for both

quality and cost

• Rolling-12 month views

• YTD views

• VBP Data Analytics team

dedicated to ongoing

review and analysis of

VBP partners

performance

• Avenue for Providers to

send in data requests

focused on specific areas

not highlighted in 3M

dashboards

• Providers can choose to receive claims data feed from Fidelis on a regular basis

• Allows Providers to use the data in their own data warehouses and population health platforms / EMRs

• Full utilization views, including “leakage” utilization

• Some detailed cost data

Page 18: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

3M Data Platform

Fidelis sends over 20 files to 3M on a monthly basis containing data on our entire Medicaid Population

• All Medical, Pharmacy, Dental and Vision Claims

• All member/eligibility information

• All provider/network data

• All relevant non-claims cost data

• All member-level revenue data

• Select HEDIS measure numerator and denominator data

3M processes our data and applies groupers and calculations to provide the following:

• Member-Level CRG risk scores calculated with Fidelis weights

• All inpatient claims are flagged by APDRG/Category

• All outpatient claims are flagged by EAPG/Category

• Claims are flagged as Potentially Preventable Events using 3M’s proprietary methodology

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Page 19: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

3M Clinical Risk Groups (CRGs)

• Population classification system that stratifies patient acuity

based on the amount and type of health care services that

individuals use

• Using standard demographics, diagnostic, and procedural

data, all individuals are assigned to one of seven population

health segments:

19

1: Non User

2: Healthy 3: Stable 4: At Risk

5: Simple Chronic

6: Complex Chronic

7: Critical

Page 20: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Cost by Population Health Segment

20

Page 21: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Why Risk Adjustment Matters

21

Provider ARisk Score: 1.07

Provider BRisk Score: 0.99

Page 22: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Potentially Preventable Events

• Risk Adjustment is used to determine expected values for

the following outcome measures:

22

Potentially Preventable Admissions

(PPA)

Potentially Preventable

Readmissions (PPR)

Potentially Preventable

ER Visits (PPV)

Score =

Observed Events

Risk Adjusted

Expected Events

Page 23: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Care Management Dashboard

23

Page 24: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

3M, Risk Scores, & Patient Lists

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• Lists patients who were identified as having a chronic, catastrophic, or malignant condition in a prior 12-month data set and are no longer flagged as such in the current data set

Chronic Fallout Report

• Identifies patients whose Clinical Risk Grouper (CRG) score has jumped significantly in status

• A significant jump in status could entail moving from having one chronic condition to having multiple conditions or showing an increase in the severity of an existing condition

Jumper Report

• Identifies patients that are now considered chronically ill but were previously not considered chronic

• These could be previously healthy members, non-users, or newly attributed/enrolled members

• The data in this report can be used to generate lists for outreach initiatives

Newly Chronic

• HEDIS Gaps in Care reports

• Member lists of Potentially Preventable Events

Quality Measure Specific Patient Lists

Page 25: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Ad Hoc Reporting

Informed Analytics (IA):

• The ability to build interactive reports that can be exported

and shared

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Page 26: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Customizable Reports

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Page 27: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Case Study

Page 28: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Patient Populations Driving Costs

28

CategoryPerson Count % Total

Aggregate Allowed

% Total Allowed

Healthy 4,736 54.85% $ 216,245.76 6.62%

Significant Acute 486 5.63% $ 159,558.66 4.88%

Single Minor 506 5.86% $ 96,939.48 2.97%

Multiple Minor 111 1.29% $ 34,216.86 1.05%

Single Dominant or Moderate Chronic 1,379 15.97% $ 432,909.47 13.25%

Pairs - Multiple Dominant and/or Moderate Chronic 1,117 12.94% $ 1,121,043.54 34.30%

Triples - Multiple Dominant Chronic 111 1.29% $ 472,830.03 14.47%

Malignancies - Metastatic, Complicated, or Dominant 29 0.34% $ 236,412.64 7.23%

Catastrophic 159 1.84% $ 498,229.68 15.24%

8,634 100.00% $ 3,268,386.12 100.00%

Page 29: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Patient Populations Driving Costs

29

54.9%

5.6%

5.9%1.3%

16.0%

12.9%

1.3% 0.3%1.8%

PERSON COUNT

6.6%

4.9% 3.0%

1.0%

13.2%

34.3%

14.5%

7.2%

15.2%

% TOTAL ALLOWED

Pairs

Pairs

Healthy

Healthy

Page 30: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Cost by Category

30

24%

1%

19%

20%

26%

3%3%

4%

Category% Total

AllowedAllowed

PMPM

IP Non-Preventable Allowed PMPM 24% $ 97.05

OP ER Non-Preventable Allowed PMPM 1% $ 5.66

OP Other PMPM 19% $ 75.15

PR Allowed PMPM 20% $ 79.74

Rx Allowed PMPM 26% $ 106.39

Preventable IP PPR Allowed PMPM 3% $ 12.09

Preventable IP PPA Allowed PMPM 3% $ 13.38

Preventable OP PPV Allowed PMPM 4% $ 14.57

Total PPE Allowed PMPM 10% $ 40.04

Page 31: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

PPE Trending

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Page 32: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

IP PPA Allowed Amount by APDRG Service Line (Top 10)

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Page 33: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

IP PPA Visits: Pulmonary

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Page 34: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Data Challenges

Page 35: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

• Virtual IPA Network composition poses unit price

sharing challenges

Solution: Aggregate financial reports and utilization

drilldown report capabilities

Data Challenges

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• Dependence on claims data

causes delays in sharing

Solution: No runout in Care

Management dashboard

Virtual

Provider

Networks

• When exchanging numerous files & return extracts

with vendors technical issues are bound to arise

Solution: Maintain close relationship with vendor and

internal IT team; reoccurring status meetings

Timing of

Data Sharing

Data Sharing

Infrastructure

Page 36: Data & Strategy · • Data Presentation • Signature Negotiation Phase Onboarding Ongoing Relationship. Fidelis Data Strategy. VBP Data Strategy & Approach 17 Ad Hoc Reporting Raw

Contact Us

http://www.nyhq.org/dsrippps

Amanda Simmons

(713) 859-9683

[email protected]

Sarah Schauman

(505) 231-5591

[email protected]

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http://www.nyp.org/pps

Paula N. Richter

(646) 317-2092

[email protected]

Rachel Naiukow

(347) 880-1707

[email protected]