The Big Data
Dividend
Enhancing Revenue in an Era of Change
May 7, 2015
Agenda
■
“Big Data”
■
Sample Healthcare Big Data Sets
■
Healthcare Applications of Big Data
■
Revenue Enhancement Opportunities
–
Rate Benchmarking/Rate Parity Analytics
–
Strategic Pricing/Pricing Transparency
–
“Value Based” (at-risk) Contracting
■
Total Cost of Care Analytics
■
Volume/”Leakage” Analytics
“Big Data”
Any collection of datasets so large or complex that it becomes difficult to capture,
aggregate, analyze, store, process, share, or visualize them using traditional data
processing applications
In healthcare, the term Big Data can apply to a wide range of datasets including:
■
Clinical data – diagnoses, disease patterns, clinical outcomes, co-morbidities, readmissions,
clinical site infections, etc.
■
Financial data – costs, pricing, charges, coding, billing, accounts receivable, payments (credit
balances, underpays, and denials), etc.
■
Population Health Management data – membership and eligibility, utilization, physician
“Big Data”
Big Data and Advanced Analytics is
essential to flourish
in today’s changing
Healthcare
environment…
Regulatory Reforms
■ Quality Reporting
■ Value Based Purchasing
■ Focus on Outcomes
Economic Pressures
■ Fee-for-service Declines
■ At-Risk Contracting
■ Need for Increased
Coordination
Consumerism
■ Quality & Cost
Comparisons
■ Access to Data/
Interoperability
Sample Healthcare Big Data Sets
Sample Data
Source
Standard
Charge Data
Claims Paid
Data
Total Cost of
Care Data
Quality of Care
Data
Milliman &
Robertson
MEDPAR
State Agencies (e.g.
VHCURES)
Blue Health
Intelligence
Truven Analytics
Definitive
Optum
American Hospital
Directory
LeapFrog
Healthcare Applications of Big Data
Total Cost of
Care Analytics
Provider
Benchmarking
M&A Due
Diligence
Support
Patient Safety
and Quality
Volume/Revenue
Leakage
Analytics
Business
Planning and
Forecasting
Rate
Benchmarking/
Rate Parity
Patient Risk
Stratification
Population
Health
Management
Market Share
Analytics
At-Risk and
Value-Based
Contracting
Potentially
Avoidable
Complications
Strategic Pricing/
Pricing
Transparency
Chronic Disease
Management
Community
Health Needs
Assessment
Clinical
Guideline
Analytics
Revenue Enhancement Opportunities
Total Cost of
Care Analytics
Provider
Benchmarking
M&A Due
Diligence
Support
Patient Safety
and Quality
Volume/Revenue
Leakage
Analytics
Business
Planning and
Forecasting
Rate
Benchmarking/
Rate Parity
Patient Risk
Stratification
Population
Health
Management
Market Share
Analytics
At-Risk and
Value-Based
Contracting
Potentially
Avoidable
Complications
Strategic Pricing/
Pricing
Transparency
Chronic Disease
Management
Community
Health Needs
Assessment
Clinical
Guideline
Analytics
Rate Benchmarking & Rate Parity Analyses
Rate Benchmarking: an independent, 3rd party comparison of contract rates to the area
average using commercially available claims paid databases. Often used in strategic contract
negotiations.
Big Data:
■
Increases statistical significance
■
Improves reliability of the results
■
Allows for a lower level of specificity
Rate Parity Analysis: independent, 3rd party assessment of contract rates relative to market
competitors. Often used to mediate contract reimbursement disputes.
Big Data:
Rate Benchmarking & Rate Parity Analyses
$2,949,231
$5,897,463
$2,183,000
$4,364,000
$0
$1,000,000
$2,000,000
$3,000,000
$4,000,000
$5,000,000
$6,000,000
$7,000,000
IP Low
IP High
OP Low
OP High
$3,725,497
$672,277
$16,919 $33,312
$0
$500,000
$1,000,000
$1,500,000
$2,000,000
$2,500,000
$3,000,000
$3,500,000
$4,000,000
SJ
SM
HVI
HC
HMO
IND
PPO
Aggregate Impact
Understand financial
impact across the
entire system, among
hospitals, and major
service categories
(IP, OP, Physician,
etc.).
Service Category
Opportunity Low
Opportunity High
% Below the Area Average
Behavioral Health
$123,000
$246,120
-77%
Cardiac
$84,605
$169,210
-16%
General Surgery
$344,382
$1,088,764
1%
Neurology
$363,839
$727,639
-36%
Neurosurgery
$92,237
$184,473
-7%
OB
$348,757
$1,097,514
-40%
Rehab
$72,383
$144,766
-38%
Service Line
Assessment
Understand financial
impact at the service
line level (IP and OP).
Rate Benchmarking & Rate Parity Analyses
$193
$405
$0
$100
$200
$300
$400
$500
Contract
Area Avg.
CPT Code 99283 (ER Visit)
$12,910
$29,917
$0
$10,000
$20,000
$30,000
$40,000
Contract
Area Avg.
DRG 460 (Spinal Fusion except cervical w/o
MCC)
Procedure Code
Impact
Understand financial
impact at the
individual procedure
code level.
Strategic Pricing
Strategic Pricing: a “re-balancing” of the CDM that protects revenue while meeting pricing
transparency objectives. Well designed studies include:
■
An understanding of the enterprise-wide strategic plan
■
A trend analysis of historical utilization over a multi-year period
■
An analysis of local demographics
■
An analysis of contract terms and their impact on pricing
Big Data:
■
Promotes a better understanding of local demographics and its potential impact on service
line demand
■
Allows providers to compare unit prices (at the procedure code level – DRGs, CPT codes,
Strategic Pricing
29%
16%
14%
13%
11%
7%
6%
2%
1%
Inpatient
Pharmacy
Laboratory
Respiratory therapy
Medical records
Radiology
Emergency room
Operating room
Central supply
Physical therapy
0%
10%
20%
30%
40%
50%
60%
70%
2011
2012
2013
P
e
opl
e
Gender Trends
F
M
■
While shrinking, there is more female volume than
male volume
■
There is a spike in age cohorts
0–15, 16–31 & 32–47.
■
The white and black populations are going in opposite
directions.
0 5,000 10,000 15,000 20,000 25,000 30,000 2011 2012 2013 P e opl e Age Trends 0-15 16-31 32-47 48-63 64-79 80-95 96-111 10% 20% 30% 40% 50% 60% 70% er cen tag e o f P o p u lat io n Race Trends A B H I N O URevenue Center
Performance
Understand which
hospital entities,
service lines, and/or
CDM codes generate
the most revenue.
Local
Demographics
Understand how
prevailing and future
demographic trends
impact utilization, the
pricing strategy, and
the enterprise-wide
strategic plan.
Strategic Pricing
Note: Charts above should be viewed as examples and not as actual data
Payer Performance
Understand how
payer volume,
contract terms, and
even contract rates
impact standard
pricing.
18%
15%
8%
6%
4%
3%
2%
2%
2%
1%
1%
1%
0%
Medicare
UHC
BCBS
Self Pay
Medicaid
Aetna Coventry
Care Improvements
Amerigroup
Wellcare
Cigna
Humana
Other
Universal
Peach State
“Value” (at-risk) Based Contracting
■
The move from volume (FFS) to value (at-risk) has moved from concept to reality
■
In value based contracting, understanding and managing utilization is critical to success
■
Big Data allows providers to understand how they compare relative to the market in terms of
utilization (at both the unit and episodic level), price (charges, payments, etc.), and quality of
care (readmissions, “never events” [hospital acquired conditions], etc.)
“Value” (at-risk) Based Contracting
Total Cost of Care Analysis:
■
An analysis of the total “cost” (price or payment rate) and clinical outcome of providing a
specific episode of care (e.g. pneumonia) from diagnostic testing and the E.R. to inpatient
admission, step down facilities, and home health
■
Results allow providers to determine which services can go “at-risk” and for what “price”
Big Data:
■
Without Big Data, providers only have insight into their own practice patterns, utilization, and
clinical outcomes.
■
With Big Data, providers are able to understand how they compare relative to the market and
Total Cost of Care Analysis
Case Study
■
A leading cancer center
analyzed 4 years of
regional claims data for
several cancers using a Big
Data source.
■
The analysis focused on
total cost of care (TCOC)
over longitudinal
episodes
■
Wanted to understand
whether TCOC and patient
outcomes were better at
their center relative to the
market
Patient Cohorts
Medications
Claims Data
Procedures
Phase I
Phase 2
Phase 3
■
Definition of cohorts,
patient attribution to
different centers
■
Compute TCOC,
outcomes for care
across centers
■
Visualization/Analytics to
determine impact of care
site on TCOC
Phase 2
Phase 1
Approach
■ Analysis of Total
Cost of Care
(TCOC)
■ Impact of
Treatment location
on patient
outcomes & costs
■
Referral
Patterns
■ Adjusted for
Severity
Goal: Assess if Cancer center’s high quality care processes are
reflected in lower reimbursement and improved outcomes across
the episode or continuum of care. Develop a business case for the
preferred use (e.g. narrow network participation) of their facility for
Cancer Care:
Short term goal of increased volume
“Value” (at-risk) Based Contracting
Volume/Revenue Leakage Analytics
Volume/”Leakage” Analytics
■
Where do patients travel through the continuum of care?
■
What are physicians’ referral patterns?
■
What can be done to capture more clinical care and referrals?
■
Impacts volume for FFS payments
■
Protects value based payments by ensuring care is delivered by physicians that follow
treatment patterns and clinical pathways resulting in high quality outcomes
Big Data:
■
Provides the data (physician referral patterns, site of healthcare delivery, “spend”, etc.)
Volume/Revenue Leakage Analytics
ABC hospital saw 8,916 unique Medicare
patients in 2013 – generating $38M in inpatient
payments. This represents 40% of total inpatient
payments for this patient group.
Where did the 8,916 unique Medicare patients
go for services in 2013?
■
This patient group generated $11M in
payments for Major Joint procedures in 2013.
ABC Hospital represents 73% of those
payments with $8M.
■
This patient group also sought services at the
following facilities:
1.
DEF Medical Center ($5.4M)
2.
Med Ctr of PLACE NAME ($4.4M)
3.
HIJ Rehab of PLACE NAME ($3.2M)
4.
KLM Rehabilitation Hospital ($2.7M)
5.
OPQ Institute for Rehab ($2.6M)
6.
RST Med Ctr ($2.5M)
$20,059
$1,800
$2,466
$3,218
$2,404
$2,140
$2,990
$2,883
$2,746
$4,074
$5,966
$4,561
$8,403
$6,830
$6,481
$7,726
$11,066
$3,041
$567
$855
$968
$970
$1,053
$1,152
$1,157
$1,182
$1,926
$2,044
$2,486
$2,620
$2,866
$2,912
$3,369
$9,040
Other
Thoracic Surgery
Vascular Surgery
Neurology
Oncology/Hematology
Neurosurgery
Surgical Tracheostom
Nephrology
Open Heart
Gastroenterology
General Medicine
Spine
Pulmonary
General Surgery
Cardiology
Other Orthopaedics
Major Joint Procedure
Key Infrastructure Needs
Subject matter professionals with expertise in:
■
Analytics
■
Advanced modeling technologies
■
Value based contracting
Advanced Modeling and Visualization Technology
■
“Low tech solutions” can pose capacity problems
Thank you
Presentation by Patrick Spoletini
Managing Director
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