In this first webinar, of a two-part series, Dr. Kathleen Clary will share how analytics can be used to answer these questions to ensure delivery of a well-organized and effective care management program. Dr. Clary will discuss how analytics can enable: Data integration from multiple EMRs and data sources Patient stratification and intake Care coordination Patient engagement Performance measurement We look forward to you joining us!

1. Care Management – Critical
Component of Effective
Population Health Management
Kathleen Clary, RN, MN, DNP, FACHE

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Agenda
2
Role of care
management in
healthcare.
Outcomes of care
management.
How data and
analytics can help.

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Care Management
3
Care management plays a central
role in the world of value-based
reimbursements, at-risk contracts,
and population health management.

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The Case
for Care
Management
4

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Poll Question #1
5
How effective are your organization’s care management programs?
154 respondents
a) Not at all effective – 6%
b) Moderately effective – 43%
c) Very effective – 6%
d) We don’t have one – 6%
e) Unsure or not applicable – 39%

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Building Blocks of Care Management
6
Identifying the
target
population
Patient and
family
caregiver
engagement Health
assessments
and screening
tools
Team-based
care
Patient-
centered care
Care
coordination
and
infrastructure
Transitional
care
Health and
disease
management
programs Quality
measurement
and evaluation
framework

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Case Management Improves Margin
7
To have any hope of reining in
health care spending, health
systems need to actively manage
care for their highest-cost patients.
- The Advisory Board,
How to Prioritize Population Health Interventions
Margin by Risk Management Level*

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Bending the Spending Curve…
8
Reduction in rates
of ED visits.
Reduction in
hospitalizations.
Reduction in Medicare
spending.
6%
6%
8%

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Data Driven Care Management
9
Results achieved through a focus on care management as part of a
hospital’s broader LOS reduction initiative:
14.8%relative improvement in
readmissions.
24%
relative reduction in HF
readmission rates.
7.8%
reduction in ALOS.
18%relative improvement in
mortality rate.
3%
reduction in HF readmission rates.
7%
relative reduction hospitalizations
and in hospital days.
46%
relative reduction in ED visits.
8%
relative reduction secondary stroke
rates within 180 days of discharge.
27%
relative reduction in
potentially preventable
readmission rate.

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Results achieved through taking a population health approach to diabetes care
management with children:
Data Driven Care Management
10
44% relative decrease
in LOS for patients with
DKA
30.9% relative
reduction in recurrent
DKA admissions
34.4% relative
improvement in
percentage of patients
with diabetes who
receive the influenza
vaccination
More than 90% of
patients receive the
annual preventative
screening
recommended by the
American Diabetes
Association

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Poll Question #2
11
What is your biggest challenge in delivering your care management
program(s)? – 134 Respondents
a) Patient stratification and intake – 16%
b) Care coordination – 14%
c) Patient engagement – 24%
d) Performance measurement/ROI – 20%
e) Unsure or not applicable – 28%

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Care Management Process

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How will you identify the patients who most need
care management?

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Assess and Stratify Patient Risk
14
ED visits, skills nursing
facility stays, ICU stays,
office visits, associated
costs
HF, COPD, diabetes,
asthma, cancer
Charlson-Deyo risk model,
HHS-HCC risk model.
Geographic data,
education and
literacy, community
support systems
# of medications, high
risk medications
(antiplatelets, anti-
infective, alpha blockers)
Risk model
Social
Determinants
MedicationsConditions
Utilization

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Selecting the Right Patients for Care Management
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Date: September 20th
Time: 12pm-1pm MST
Attendees will learn how analytics can enable patient intake, care
coordination, patient engagement, and performance measurement of
care management.
Join for the second part of this discussion
20

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Market Challenges
Learn More - https://healthcatalyst.com/CMWebinar
A Great Reference:
A Guide to CM ROI Challenges & Solutions
21

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Healthcare Analytics Summit 17
Summit highlights
Industry Leading Keynote Speakers
We’ll hear from well-known healthcare visionaries. We’ll also
hear from two C-level executives leading large healthcare
organizations.
CME Accreditation For Clinicians
HAS 17 will again qualify as a continuing medical education
(CME) activity.
30 Educational, Case Study, and Technical
Sessions
We have the most comprehensive set of breakout sessions of
any analytics summit. Our primary breakout session focus is
giving you detailed, practical “how to” learning examples
combined with question and opportunities.
The Analytics Walkabout
Back by popular demand, the Analytics Walkabout will feature
24 new projects highlighting a variety of additional clinical,
financial, operational, and workflow analytics and outcomes
improvement successes.
Analytics-driven, Hands-on Engagement for
Teams and Individuals
Analytics will continue to flow through the three-day summit
touching every aspect of the agenda.
Networking and Fun
We’ll provide some new innovative analytics-driven
opportunities to network while keeping our popular fun run and
walk opportunities and dinner on the down.
Sept. 12-14, 2017
Grand America Hotel
Salt Lake City, UT
ERIC J. TOPOL
Author, The Patient Will
See You Now and The
Creative Destruction of
Medicine. Director,
Scripps Translational
Science Institute
DAVID B. NASH,
MD. MBA
Dean, Jefferson
School of
Population
Health
JOHN MOORE
Founder and Managing
Partner, Chilmark Research
ROBERT A. DEMICHIEI
Executive Vice President and
Chief Financial Officer, University
of Pittsburgh Medical Center
THOMAS D.
BURTON
Co-Founder, Chief
Improvement Officer,
and Chief Fun Officer,
Health Catalyst
DALE SANDERS
Executive Vice
President, Product
Development,
Health Catalyst
THOMAS DAVENPORT
Author , Consultant
Competing on Analytics*, ,
Analyitcs at Work, Big Data at
Work, Only Humans Need
Apply:Winners and Losers in the
Age of Smart Machines.
*Recognized by Harvard
Business Review editors as one
the most important management
ideas of the past decade, one of
HBR’s ten must-read articles in
that magazine’s 90-year history.