April 12 2015 Tim Miksch Section Head Applied Clinical Informatics The Mayo Clinic Claudia Blackburn Senior Manager Aspen Advisors Part of The Chartis Group DISCLAIMER The views and opinions expressed in this presentation are those of the author and do not necessarily represent officia ID: 751203
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Population Health Management DefinedApril 12, 2015
Tim Miksch, Section Head, Applied Clinical InformaticsThe Mayo ClinicClaudia Blackburn, Senior ManagerAspen Advisors, Part of The Chartis Group
DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.Slide2
Conflict of Interest Disclosure
Tim Miksch, MBAHas no real or apparent conflicts of interest to report.Claudia Blackburn, MBAIs employed by Aspen Advisors, Part of The Chartis Group, which provides services that are discussed as a part of this presentation.
© 2014 HIMSSSlide3
Learning ObjectivesIdentify how to align an organizational healthcare model with a value-based reimbursement model to support the allocation of resources for high risk patients
Explain definitions and concepts associated with Population Health and Population Health Management Summarize the role of analytics in developing and evaluating programs and processesIdentify where your organization is on a Population Health Management (PHM) maturity roadmap
PHM Core Competencies
Case Study
Challenges and Next StepsSlide4
An Introduction to the Benefits Realized for the Value of Health PHM IT
http://www.himss.org/ValueSuiteSlide5Slide6
Population Health Management (PHM)The Future of Healthcare Paradigm Shift
Today:Reactive andVolume-based
The Future:Proactive andValue-based
Drivers
Health Reform
Affordability Gap
Triple Aim
Weight of the Nation
Reimbursement
Encourage
me!
Educate
me!
Treat
me
holistically!!
I will pay
y
ou!
Individuals are accountable for their health
with the health system as their health advocate.
Population
health management
provides comprehensive
authoritative strategies for
improving the systems and
policies that affect
health care quality, access,
and outcomes, ultimately
improving the health
of an entire populationSlide7
Engaged Communities
Proactive care processes
Identified patientsFocused on wellnessCommunity resource navigatorEngaged PatientsIdentified and incorporated patient goalsFocused on continuity and coordinationFacilitated communication channels
Improved access to care
Identified Opportunities to Reduce
W
aste4 Rights
Duplication
a
voided
Improved coordination/transitions
Used automation to reduce resource needs
Improved screening and prevention
Aligned incentives to drive value
7
Achieving Success
Making the “Triple Aim” Possible
Better Health
for the PopulationSlide8
Population Health Management Core Competencies and Key PillarsSlide9
Population Health Management (PHM)
Core Competencies
The goal of population health is to transform care delivery practices and administrative support to deliver improved outcomes and lower costs across the continuum of care for a specified population. Success will depend on changes in care practices, business processes and cross-organizational communications, all supported by information technology.
Member Engagement
Cross-Continuum Care Delivery and Medical / Care Management
Quality Outcomes Management / Reporting
Operational Performance Management
and
BI
Accounting
Integration
and InfrastructureSlide10
PHM Competency Characteristics
CompetencyFoundationalAdvancedInnovative
Member engagementWebsite of offerings availableInteractive site, smart phone, incentives Coach proactively encouraging healthy behaviorCross-continuum care delivery and medical / care management
Sites of care operate
in silos, handoff on paper, relying on patientSome care planning and handoff between sites of care
Consistent care planning, monitoring, consolidated clinical data views, different communication and seamless hand-offs among care settings
Quality outcomes management / reporting
Registries
in the EHR
Registries within a data warehouse with multiple feeds
Measuring and monitoring across the continuum of care,
including
all participating entities
Operational performance management / BI
EHR reports such as MU attestations
Data
warehouse with analytics for reporting
Constant monitoring of how they are performing to key business and care metrics
from analytics engine
Accounting
Financial and PHM systems for analysis and payment incentive in Excel or other non-integration tool
Some integration and analytics to provide individual and provider incentives
Real-time reporting of status for both individuals and providers towards shared savings and incentives such as through portals
Integration and infrastructure
One or few systems
are not integrated causing redundant work
Most systems are integrated,
but one longitudinal record does not exist electronically
Track all population members, providers, encounters, and assure
information sent from one system goes to the right destination (system) for the right patient, with appropriate data translation, normalization and securitySlide11
Key Pillars of Population Health Management
Workflows, role changes, people, care coaches, wellness program development, heath risk assessment process, population engagementBusiness vision, population definition, policies, modeling, financials, contracts, procedures, market analysis, and
value propositionIntegration and interoperability including HIE, patient portal, analytics, coaching tools and health risk assessmentRisk, incentives, payment management, shared savingsSlide12Slide13
Mayo Community Practices
MAYO CLINIC in the MIDWEST
Community and Regional Health System
75 communities in
MN, IA
and
WI
4 regions
18
hospitals
525,000 patients/year
1,000+ physicians
Primary care
At risk for PC
Arizona
90,000 patients/year
Approx. 400
physicians
Primary care
At full risk for PC
MAYO CLINIC in the SOUTHWEST
MAYO CLINIC in the SOUTHEAST
Florida
90,000 patients/year
Approx. 400 physicians
Primary care
At full risk for PC
Academic Medical Center
Rochester,
MN
500,000 patients/year
2,000
physicians
125 primary care providers
Primary care
At full risk for PCSlide14
Office of Population Health Management
Formed in 2012
Developed a Mayo framework for PHM
Strategy
Phasing
OversightCoordinationStandardization
Focused on the community practicesInitially focused on primary careValue-based care
Patient-Centered Medical Home
Risk based reimbursementSlide15
The Changing Market
Source:
“The View from Healthcare’s Front Lines: An Oliver Wyman CEO Survey”Slide16
WHAT?
MMoCC
is an enterprise-wide, multi-year roll-out to achieve the
TRIPLE AIM:
Improve Population Health
Improve Individual Experiences
Lower Costs
While aligning with financial models
Changing isn’t just for survival
The new model allows us to thrive
The Mayo Model of Community Care (MMoCC)
Implemented in strategic phases
WHO?
Office of Population
Health Management
(OPHM)
Created by MCCPC to TRANSFORM Community Care
OPHM establishes the
STANDARDIZED ELEMENTS
for clinics to implement with
APPROPRIATE LOCALIZATION
A new way of practicing is needed
OPHM defines strategy for the new model
Costs are rising
Reimbursement is decreasing
The measure of PRODUCTIVITY is
no longer VOLUME
It is
VALUE =
Small changes are not enough
Outcomes
+
Service
Cost
Our survival is at risk
WHY?Slide17
Vision
Patient centered, integrated care delivery modelbased on:Aligned incentivesCoordinated, collaborative processes
Evidence-based prevention and disease management protocolsSeamless sharing of informationSupported by wellness and continuity care programs that focus on:Patient engagementCommunity integrationPrevention and health promotionDriven by analytics to support quality outcomes and value-based accountable reimbursementSlide18
Office of Population
H
ealth Management
Geographic Operations
Arizona Office
Florida Office
Midwest Office
Functional Subgroups
Change Mgmt./ Communications
Data Analytics
IT Tools and Application
OPHM
Advisory Group
Programs
Prevention
Community Engagement
Wellness
Care Coordination
Chronic Condition Management
P
alliative Care
Care Transitions
Team-based Care
Patient Engagement
Access
Health & Wellness
Continuity Care
Executive Team
Mayo Clinic Clinical Practice CommitteeSlide19
MMoCC Focus Areas
50%
15%
35%
35%
15%
50%
COST
% of community
POPULATION
Wellness
Prevention
Disease
Management
Care Coordination
Care Transitions
Palliative Care
PHM FOCUS
2010 data from Mayo Clinic Health Sciences Research
Care teams
Patient
engagement
Community engagement
AccessSlide20
MMoCC Impact
80% of costs
Lifetime
Ability to impact
Complex
active
illness
Symptomatic
illness
High
risk
Early
risk
Situational
risk
Family Hx
Environment
Diet
Exercise
Cholesterol
BP
Blood sugar
Active Dz
Diabetes
HEALTH STATUS
HEALTH CARE SPEND
Act on opportunities
Identify opportunitiesSlide21
ASSESS
STRATIFYPopulation Identification
Health AssessmentRisk StratificationEnrollment / Engagement Strategies Management / Interventions
1
DEFINE
2
3
4
ENGAGE
5
MANAGE
Tailored Interventions
—
Care Coordination
—
Disease / Case Management
—
Health Risk Management
—
Health Promotion / Wellness
Meeting patients where they are
…physically
home | school | work | shopping | in the clinic
…in the way that works best for them
email | text | internet | phone | video | face-to-face
MMoCC ProcessSlide22
Phased Implementation
MMoCC 2Laying the foundation while living in FFS
Introduces value-based (TCOC) concepts and model (change management)Emphasis on team-based care foundation and care coordination introduction
Standardized disease management and prevention recommendations
Focus on decreasing high utilization where it makes sense (30 d readmits…)
MMoCC
4
Requires
value
-
based
contracts to succeed
MMoCC
3
More site resource investment –
mixed
volume/value
Shifts from individual practice to
team-based
panels
Continues focus on high utilization and expanded analytics and care
management
Increases focus on patient important outcomes
Strong shift to total cost of care drivers
Adds specialty integration to care team concept
Community engagement
Full alignment of incentivesSlide23
Diffusion Timeline
MMoCC Limited Implementation
2013201420152016
MMoCC
Previous
MMoCC 2 Foundation
MMoCC 3 Mixed
MMoCC 4 TCOC
PILOT 4-6 SitesSlide24
2015 StatusAll sites are actively engaged
Standardizing across sites and regions is a challengeFor many, fee-for-service remains a driverData management processes are maturingKeys to our success:Engaged leadership at local levelsInstitutional supportStrong physician leaders in each programExcellent business analysis, project management and informatics support in placeSlide25
Demand for healthcare
Supply of resources to meet demand
VALUE
=
Outcomes
+ Service
Cost
Our pay will be based on
We need to
utilize our staff wisely
through
Identify opportunities
to
impact
health earlier
and
act
on
those opportunities
We
need to think differently about how to
activate
our patients and communities
And
how we
interact
with them
TEAM-BASED
CARE
ANALYTICS
CARE MGMT SYSTEM
PREVENTION
DISEASE MGMT
PATIENT ENGAGEMENT
COMMUNITY ENGAGEMENT
WELLNESS
ACCESS
PALLIATIVE CARE
CARE TRANSITIONS
CARE COORDINATION
StructureSlide26
Analytics and Reports Examples
Report Description
Registration
Unassigned and wrongly assigned patients
Unassigned Emergency Department high utilizers
Care Coordination
Diabetic Mellitus (DM) patients who are most likely to be readmitted
Congestive Heart Failure (CHF) patients who are most likely to be readmitted
30 day readmission reports are located within the Care Coordination dashboard with DM and CHF 20%. Follow instructions from section 2.1 and 2.2
Patients by Disease Evidence Type
Patients with no Diabetes diagnosis but have other evidence of Diabetes
Patients with no CHF diagnosis but have other evidence of CHFSlide27
Example Use from Care Coordinators
Care Coordinator identified a patient based on ER visits and reached out to her. She was very interested in COMPASS and did the PHQ9, and it was 17. “She was very interested in changing her life so that she could be around for her granddaughter. I have sent her a letter and will keep her on my watch. It was a good connection to at least let her be aware that services are available if and when she is ready.”“I have a patient who, because of care coordination, has improved her health to move from the PHM tool CHF “most” to the “more” list. The PHM tool still identifies her as higher risk, but she has done well with care coordination.”“It mostly has been helpful to me to identify patient populations that might be eligible for care coordination to reach out to the providers to get them on board with care coordination, pointing out that the PHM tool has already identified them as being higher risk.”Slide28Slide29
2015 NEXT STEPS
CHALLENGES
Challenges and Next StepsPractice standardizationResources Can’t stop processes and can’t add resources to change
Needed to understand practice variation and standardize
Informatics knowledgeable in in EMR support teams
Challenge to implement tools to free up resources when processes and data aren’t standardized(IT, informatics)
Rapid cycle iteration is challenging for practice tools without significant resource involvement
Decision rights – “who says this is the new process….”
Enterprise metrics
Point-of-care registry and care management
Patient consumer engagement utilizing EMR patient portalSlide30
An Introduction to the Benefits Realized for the Value of Health IT
http://www.himss.org/ValueSuiteSlide31
Claudia BlackburnAspen Advisors, Part of the Chartis Group
cblackburn@aspenadvisors.net@cblack67 Questions?Thank You!
Tim Miksch The Mayo Clinictmiksch@mayo.edu@tmiksch