Implementing a Population
Health Model
Health IT Perspective

2. All Rights Reserved.11 November 2016© 3M 3M Confidential.
Disclosure
Hon S. Pak, MD
Chief Medical Officer
3M Health Information Systems
“We are Data Scientists of Language of Health, and we organize healthcare data and provide tools
to support our clients journey toward value based care“
PEHRC, Executive Committee
AAD Coding and Reimbursement Committee
Editorial Board Telemedicine and e-Health Journal
Past President, American Telemedicine Association
President of Lavonne Morse Foundation
Former CIO and CMIO, Army Medical Department

3. All Rights Reserved.11 November 2016© 3M 3M Confidential.
Population Health Models and Value Based Payment
Models
APMS
ACO/
PCMH
Bundled
Payments
P4P
Value Based Care
Example: Supporting a health system’s ability to
manage risk-based contracts and bundled payment
models.
Foundation: Data Aggregation and
Classification
Value Based Care
Population
Health Strategy
Pillars

4. All Rights Reserved.11 November 2016© 3M 3M Confidential.
The Concentration of Health Care Spending
0%
0
10%
10 20
15.4
95 990.0 0.1 0.4 1.3
2.9
5.6
10.4
18.8
34.8
50.5
78.2
100.0
30 40 50 60 70 80 90 100
20%
30%
40%
50%
60%
70%
80%
90%
100%
Total Personal Health Care Spending
= $1.259 Trillion
Top 1% of spenders account for >20% of spending ($275 billion)
Top 5% of spenders account for almost half of spending ($623 billion)
$36 Billion $1,223 Billion
Percent of Civilian Non-Institutionalized Population Ordered by Health Care SpendingCumulativePercentofTotalSpending
FIGURE 1. CUMULATIVE DISTRIBUTION OF PERSONAL HEALTH CARE SPENDING, 2009
NIHCM Foundation analysis of data from the 2009 Medical Expenditure Panel Survey.
Foundation to Pop Health
• Aggregation of the data (claims, clinical,
and other)- Master Data Management
• Categorization/ Risk stratification of
population (Examples: DRG, APR, CRGs,
etc)
Population Health Tools
• Bundle Payments: Patient Focused
Episode Groupers
• Shared Saving/ Risk Sharing/ Capitation
• Opportunities for cost reduction
(prevent readmissions, ER visits,
complications)
• Opportunities to identify gaps in care
• Pay for Performance
• Provider/ system performance in
comparison to national standards of
care
• Predictive models

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Health Information Systems
19. All Rights Reserved.28 October 2015© 3M 3M Confidential.
Maryland Quality-Based Reimbursement Program
2009–2011 RESULTS & NATIONAL OPPORTUNITY
Extrapolated from
2-year Maryland’s
6% inpatient
cost savings
to Medicare’s
Fee-for-Service
national program
Hospital Pay-For-Performance Programs in Maryland Produced Strong Results, Including Reduced Hospital-
Acquired Conditions - Sule Calikoglu, Robert Murray, Dianne Feeny, Health Affairs, 31, no. 12 (2012): 2649-2658
Health Information Systems
Maryland Quality-Based Reimbursement Program
STATE OVERVIEW

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Opportunity/Challenge for Population Health
Additional Source of
Data
• Patient-reported outcomes
data
• Social determinants of
health data
• Activity-based costing data
that will allow accurate
management of financial
margins in per-capita
reimbursement contracts.

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Experience matters
in today’s healthcare world
45MILLION
LIVES
63
HEALTH PLANS & PAYERS
INSURANCE CARD
0000-5555-000-22
with whom 3M
has relationships
or from whom
3M accepts data*
300
THOUSAND
PHYSICIANS
reported by the AHA
Guide for the states from
which 3M manages or
receives payer data
2
covered through 3M’s payer data assets*
5,000+
healthcare provider customers*
15-20%
$44 million
in gross savings
COLORADO
reduction
in hospital readmissions
(relative to a comparison population
prior to program implmentation.)
$6 million
net reduction in total cost of
care for program enrollees
From the Accountable Care
Collaborative Annual Report,
Colorado Department of
Health Care Policy and
Financing (November 2013)
$105 million
3M helped the state of Maryland save
over a two-year span by reducing the incidence and
cost of potentially preventable complications (PPC)*
*Data on file
Thank You