integrating analytics for value-based healthcare
TRANSCRIPT
Integrating Analytics for Value-Based Healthcare
Joshua McHale
Maury DePalo
22
Today’s Topic …
Population Health Analytics
• Current Climate and Challenges - Program Objectives
• Driving Needs for Focused Analytics - to Improve Clinical and Financial Performance
• Mobilizing by Process Implementation & Improvement
Data Integration Challenges
• Enterprise Data Architecture
• Primary Components – Data Sourcing, Transformation, Delivery
• End-User Data Navigation Model – Integrated Data Repository
Business Intelligence and Data Exploration
• Empowering the End-User Experience – Examples
• Action-Oriented Performance Measures
Moving Forward
• Risk and Alternative Quality Contracts
• Reducing Clinical Variation
• Mobilizing for Value-Based Care
Q & A
33
Population Health Analytics
Current Business Climate & Challenges
• Relentless Pressures on Quality Outcomes Costs
• Need for Innovation in Care Delivery, Coordination, Risk Sharing, Cost Control
• Massachusetts Health Policy Commission – Phase 2 of Community Health Acceleration, Revitalization, and Transformation investment program (CHART-2)
• Enhance delivery of efficient, effective care at community hospitals
• Promote care coordination, integration, delivery transformation
• Advance EHR adoption information exchange among providers
• Increase adoption of alternative payment models accountable care organizations
• Enhance patient safety coordination between hospitals and community-based providers
• Leveraging resources of community partners
• Focus on Pressing Healthcare Needs in Local Communities
• Targeted At-Risk Populations Behavioral Health; Diabetes
• High Utilizers > 4 Inpatient Admissions; > 10 Emergency Room Visits
• Improve Coordination and Access to Care
• Improve engagement of high-risk diabetes patients incorporate into care management programs development of disease management registries
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Population Health Analytics
Driving Needs for Focused Analytics to Improve Clinical & Financial Performance
• Identify & Characterize Key Targeted Patient Populations
• At Risk Populations, Preventive Care, Patient Experience
• Identify Targets for Intervention & Improvement Programs
• Patient, Diagnosis
• Provider, Service Utilization, Care Coordination
• Track Quality and Financial Performance Metrics Against Baselines & Targets
• Individual and Aggregate Measures – Drill-Down on Quality & Financial Performance
• Individual Patients – Individual Providers
• Aggregate Providers – Aggregate Care Teams – Aggregate Practice Groups / Locations
• Track Attributed Populations Defined Under Risk Performance Contracts
• Track Response to Programs – Defined Quality Measures
• Track Assignment Consistency – Care Plan Compliance
• Disseminate Standards of Care Across Care Teams & Settings
• Track Variation in Outcomes, Utilization, Costs
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Population Health Analytics
Integrating Care Planning – Execution on Focused Patient Cohorts
•Examine Performance Contracts – Patient Mix, Service Mix
•Establish Baseline Measures and Set Patient Goals
•Begin Care Plan Activities
•Monitor Adherence according to Care Plan & Schedule
•Track Quality and Financial Metrics
•Measure Results of Individual Patients & Evaluate Impact of Program on Overall Population
•Adjust Accordingly & Schedule Follow-ups
•Design Care Plans & Interventions – Activities, Observations & Measures
•Assign Patients to Tailored Care Plans Consistent with Goals for Overall Population
• Identify Partner Providers for Outreach and Coordinating Care
• Identify Patients Targeted for Intervention - Define Cohorts
• Stratify Patients Based on Clinical or Financial Risk or Operational Resource Demands
•Target Specific InterventionsIdentify
& Stratify
Design &
Assign
Execute &
Monitor
Evaluate &
Adjust
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Achieving Value-Based Accountable Care
Pursuing a Staged Implementation – Success Factors at Each Stage
Patient Panel
Definition
Targeted
Populations &
Outcomes
Baseline
Expenditures
& Costs
Accountability
Models
Financial
Reconciliation
Population
Health
Management
Identify Unique Patients
Assemble Records of Clinical Care
Define Bundles
Identify Unique Providers
Align Patients & Providers
Measure / Manage Care Delivery
Measure / Manage Care Relationships
Patient Panel Analytics
Defined Patients, Beneficiaries or Members
Segmentation
Outcomes: Clinical, Operational, Financial
Identify ACO Parties & Roles
Performance Targets & Metrics
Targeted Care Plans
EBM Guidelines for Required Care for Patient Needs
Historical Baselines
Align Patient with Provider Entity
Align Provider with ACO Entity
Calculate Service Fees & Savings Targets
Hierarchical Segmentation & Aggregation
Anticipated Services, Charges & Costs
Collaborative Care Delivery Models
Transitions in Care
Communications, Handoffs, Follow-ups
Contracts, Roles, Responsibilities
Shared Metrics, Benefits & Risks
Retrospective Payments
Shared Savings & Costs
Value Realization
Allocated Gains (Losses)
Billing & Payment Distribution
Compliance & Adherence Targets
Patient Stratification
Comparative Outcomes & Quality Metrics
Prospective & Bundled Payment Models
Predictive Risk Modeling
Performance Optimization
Market Share & Competitive Analytics
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Population Health Analytics
Health Systems Need to Know …
How do we manage patient cohorts more systematically? How do we better
integrate and focus our care delivery across these populations & care settings?
Population Health
Management
Do we understand our charges, payments and costs? Are we reconciling these with
our care plans and our accountability models? Financial Reconciliation
How do we implement & measure accountability across our ACO partnerships?
Where and by whom are value and costs introduced into our delivery processes?Accountability Models
What are our baseline expenditures & care delivery costs on these targets, with this
payer? How do these align with our contract terms across payer types?
Baseline Expenditures
& Costs
What are our current targets for patients & outcomes? What quality / results are
we seeing? Are they consistent? Where do we see under- or over-performance?
Targeted Populations
& Outcomes
Who are our patients? What treatments are they receiving? What other providers
are they seeing? At what locations? With what frequency?
Patient Panel
Definition
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Data Integration Challenges
We Need Visibility Into …
- Demographics- History
- Reported Outcomes- Location
- Specialty- Relationships
- Location- Care Team
- Structure- Locations
- Legal Entity- Contracts-Care Mgmt
Teams
- Inpatient- Outpatient- Pharmacy
- Beneficiary History- Payers
- Charges, Payments & Adjustments
- Costs- Margin
- Risk Contracts
- Diagnosis- Chronic Conditions
- Labs & Results- Procedures &
Medications- Quality
- Appts- Scheduling
- Utilization & Throughput
- DRG - Location
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Enterprise Data Architecture
Data
Inte
gra
tion
& T
ran
sfo
rmatio
n
Patient Panel Analytics
Targeted Populations
& Outcomes
Baseline Expenditures
& Costs
Accountability Models
Financial Reconciliation
Population Health
Management
Dashboards &
Analytic ViewsContract Measures
Performance
Summary
Baseline Expenditure
Provider Profile
EMR
Billing
Provider Master
Health
System
Payers
Claims
Data
Access –
Navig
atio
n &
Secu
rity
Reports
Patient
Capture Integration and Transformation Consumption
Extensible Data
Architecture
Standard Data Models
MPI
Coding
Members
Provider
Claim
Reference
Other
Master
Data
Encounter
Location
1010
Data Integration Challenges
Data From Multiple Source Systems of Record and Points of Origin
• Differing Formats and Semantics
• Inconsistent Taxonomies
• Differing Data Granularities
Technical Challenges
• Timing and Granularity Differences and Conflicts
• Access to data stored in the cloud
• Positioning for Big Data Opportunities
End-User Experience
• Consistent but Responsive (Variable, Tailorable) Experience
• Power User vs. Ease of Use
• Education on Source, Meaning and Veracity of Data Elements
Data Governance
• Lack of consistent Enterprise-wide definitions
• Different groups use similar terminology for different data and meanings
Evolving Needs for Focused Analytics – Driving Clinical and Financial Performance
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End-User Experience – Navigating Complex Data Spaces
Patient
Organization
ProviderLocation
Contracts
Payer
Claims
Payments
Encounter
Charges
Costs
Diagnosis
Treatments
Chronic
Condition
Disease
Group
Procedures
Medications
Margin
Events
Data Navigation Model …
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End-User Experience – Empowering Analytics
Navigating Multi-Dimensional Data Spaces
Intuitive & Flexible Navigation of Multi-Source Data Spaces
• Data Integrated from Numerous Sources – Network Data Model
• High-Performance Interactive UI – Free Navigation Across Subject Areas
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End-User Experience – Empowering Analytics
Empowering the End-User with Context-Informed Search …
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Moving Forward – Risk and Population Focused Quality Contracts
0
20
40
60
80
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120
140
160
Year 1 Year 2 Year 3 Year 4 Year 5
PER
FOR
MA
NC
E A
GA
INST
BA
SELI
NE
CONTRACT PERFORMANCE YEAR
Performance
CPI
Efficiency
Baseline
Value Axis
Patient Count ...
{ Contract Performance } - { Aggregate Population } - { Segment by Quality Measures, Cost Components }
Segmentation
Population Segments, Quality Measures, Cost Components, ...
Savings Elements
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Risk and Population Focused Quality Contracts
Population Composition
0
20
40
60
80
100
120
140
160
180
2008-Q2 2008-Q4 2009-Q2 2009-Q4 2010-Q2
PA
TIEN
T C
OU
NT
DATE OF OBSERVATION
Diabetes
PreDiabetes
Normal
Value Axis
Patient Count ...
{ Population Composition } - { Diabetes } - { Disease Severity Cohort }
Color Axis
Disease Severity ...
Disease Severity
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0
2000
4000
6000
8000
10000
12000
14000
160004
.8
5.0
5.2
5.4
5.6
5.8
6.0
6.2
6.4
6.6
6.8
7.0
7.2
7.4
7.6
7.8
8.0
8.2
8.4
8.6
8.8
9.0
9.2
9.4
9.6
9.8
10
.0
10
.2
10
.4
10
.6
10
.8
11
.0
PA
TIEN
T C
OU
NT
HB A1C - MOST RECENT OBSERVATION PER PATIENT
Poor
Good
Excellent
{ Population Composition - Distribution Analysis } – { Diabetes } – { Disease Severity Cohort }
Adherence toCare Plan
Value Axis Color Axis
Patient Count ... Adherence to Care Plan ...
Category Axis
Hb A1c - Most Recent Observed Value
Risk and Population Focused Quality Contracts
Population Composition – Distribution Analysis
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Risk and Population Focused Quality Contracts
Population Composition – Distribution Analysis
0
2000
4000
6000
8000
10000
12000
14000
16000
1.0
2.0
3.0
4.0
5.0
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PA
TIEN
T C
OU
NT
NUMBER OF MONTHS ENROLLED ON INTERVENTION CARE PLAN
UnfavorableNo ChangeFavorable
{ Population Composition – Distribution Analysis } - { Diabetes } - { Time on Care Plan Cohort }
Response toCare Plan
Value Axis Color Axis
Category Axis
Patient Count ... Response to Care Plan ...
Number of Months Enrolled on Intervention Care Plan
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Reducing Clinical Variation
Procedure / Treatment:
• Current Treatment
• Prior Treatments
• Response
• Adverse Events
Disease Condition:
• Diagnosis
• Complications / Comorbidities
• Demographic / Socio-Econ
Operations / Utilization:
• Service Utilization
• Resource Utilization
• Fac / Lab / Mat / Equip
• Care Planning / Mgmt,
Pathways
Financial:
• Revenue & Cost
• Profitability
• Payers & Contracts
Quality:
• Clinical Outcomes
• Patient Satisfaction
• Process Adherence
Measures:
• HbA1c, Mortality, QOL, Patient
Satisfaction, HAC, Infection
• LOS, Resource Util, Service Util
• Reimbursement, Costs of Care
• # Encounters, Care Settings, Duration
Between Encounters
• Care Plan Adherence
1919
Reducing Clinical Variation
0
50
100
150
200
250
300
1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8
Tota
l Nu
mb
er o
f C
ases
Avg LOS per Case
Rotator Cuff Repair: Distribution of Avg LOS by Surgeon
Hockensmith Hunnicutt Sexton Roderick Endicott
2020
Reducing Clinical Variation
0
50
100
150
200
250
300
1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8
Tota
l Nu
mb
er o
f C
ases
Avg LOS per Case
Rotator Cuff Repair: Distribution of Avg LOS by Surgeon
Hockensmith Hunnicutt Sexton Roderick Endicott
0
20
40
60
80
100
120
140
160
1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8
Tota
l Nu
mb
er o
f C
ases
Avg LOS per Case
Rotator Cuff Repair: Distribution of Avg LOS by Surgeon
Hockensmith Hunnicutt Sexton Roderick Endicott
2121
Reducing Clinical Variation
2222
Mobilizing for Value-Based Care
Workflows Integrate Data Capture, Care Delivery, Communications & Shared Metrics
Physician Office
Other Care Settings
Integrated
Database & HIE
Patient Registries
& Analytics,
Financial & Quality
Measures
Workflow
Triggers, Alerts &
Escalation
Patient Registration, Scheduling
Call Center
Patient Home
Web Access Assessment & Stratification
Individualized Care Plan
Discharge Progress
Review
Labs
EMRs
Quality
Performance
Improvement
Phone
Outreach
Workflow Mgmt
Data Sharing
Patient Engagement
Care Plans
Practice Mgmt
Cost
of Care
2323
Achieving Value-Based Accountable Care
A Business Intelligence & Change Management Platform
Patient Panel
Definition
Targeted
Populations &
Outcomes
Baseline
Expenditures
& Costs
Accountability
Models
Financial
Reconciliation
Population
Health
Management
Integrated
Data Platform
Changes to Processes
& Operations
Changing Business
Models
Population &
Practice Models
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Integrating Analytics for Value-Based Healthcare
Accountable Care Analytics
Clinical
Strategic
Planning
IT
Practice
Mgmt
Marketing
Finance
Revenue Cycle
Costs, Margin
Payer Mix
Stratification
Outcomes
Quality &
Safety
Growth
Market Share
Competition
Architecture
Data Quality
Tools, Applications
Security, Governance
Patient Satisfaction
Panel Management
Continuum of Care
Outreach
Physician Liaison
Relationship Mgmt
Service Improvement
Integrating Analytics for Clinical, Operational and Financial Improvement
2525
Questions?
Thank You!
2626
Dave Hegarty
Healthcare Business Development
Phone: 781-213-9864
Email: [email protected]
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