©2007 npas1 segmenting hospital accounts to maximize cash march 22, 2011 garett jackson, cfo hca...
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©2007 NPAS 1
Segmenting Hospital Accounts to Maximize Cash
March 22, 2011
Garett Jackson, CFO
HCA National Patient Account Services
©2007 NPAS 2
Learning Objectives
• Understanding the Self Pay Portfolio
• How predictive models were incorporated into the process
• What variables are within the data already obtained from the patient?
• Future state of modeling and segmentation
• Translating data into results
©2007 NPAS 3
Understanding the Self Pay Portfolio
Benchmark – Evaluate – Segment - Measure
©2007 NPAS 4
Front-End: Copay Responsibility Shift
Insurance plans are paying less of the overall bill. Hospitals are left to get the remaining portion from the patient.
Gains upfront are not offsetting the increase in responsibility
©2007 NPAS 5
Front-End Efforts – Self Pay
More of the original balance was discounted. Front-end collections from the patient are decreasing at the same time.
©2007 NPAS 6
200
300
400
500
600
700
200801 200802 200803 200804 200805 200806 200807 200808 200809 200810 200811 200812 200901 200902 200903 200904 200905
Average Credit Score by Placement Month
Private Pay - CoPay and Deductible Private Pay - Pure Self Pay
Economic Conditions Have Changed
©2007 NPAS 7
Last Fifteen Months
300
350
400
450
500
550
600
650
700
2009
09
2009
10
2009
11
2009
12
2010
01
2010
02
2010
03
2010
04
2010
05
2010
06
2010
07
2010
08
2010
09
2010
10
2010
11
2010
12
Monthly Average Credit Scores
Copay Avg Score Self Pay Avg Score
©2007 NPAS 8
Negotiation: What to Expect
82% of SP calls don’t commit to pay
©2007 NPAS 9
Collections Life Cycle
Front End Collections
Pre-admit payments
Payment at registration
Payment at discharge
Payment from billing
Back Office (Early Out)
Payment from letters
Payment from contacts
Payment from re-billing
Customer Service Focus
Identified as Facility
Collection Agency
Payment from credit reporting
Payment from legal actions
Payment from aggressive collection activity
Identified as collection agency
Bad Debt
NPAS Statistics
Mission Based Collection Practices
©2007 NPAS 10
HCA’s Bad Debt Action Plan
• HCA started implementing its Bad Debt Action Plan in an effort to understand and attack the issue quickly. Early out was a key focus of the plan:– What does the healthcare portfolio look like compared to
other industries?– Is it possible to change the early-out collection strategy to
address the portfolio?– Which resources (up-front, early-out, primary) are best
equipped to handle the inventory?– Which key indicators have the largest impact on
collections?
©2007 NPAS 11
Credit Scoring Notes
• Used the Equifax ERS 3.0 scoring method, which ranges from 1 to 1000
• Grouped number of accounts in scored index ranges of 100
• Scores of 0 mean that no data was available
• Scoring vendor provided six industry comparisons done by Equifax
• Compared results against All Industries, Auto Finance, and Bankcard Industries
• Work Effort is defined as Attempts, Contacts and Letters
• Self Pay was analyzed for comparative purposes. However, the study compares Copay and Deductible in general.
• Scoring vendor provided scores for approximately 241k accounts with a 96% score rate
• Used a random sample of closed accounts
• Statistical accuracy of sample is 95% +/- 4% as a valid representation of our inventory
©2007 NPAS 12
Early Out Inventory
77.31%
44.09%
27.93%
17.65%12.67%
11.02%
7.69% 6.44% 5.07%6.92%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
©2007 NPAS 13
Upfront Collection Efforts
HCA Upfront Collections by Scoring Range
5.0%
3.0%
1.8% 2.0%
1.0%0.7% 0.6% 0.6% 0.5% 0.6% 0.7%
0.00%
1.00%
2.00%
3.00%
4.00%
5.00%
6.00%
Perc
en
t R
eco
vere
d U
pfr
on
t
Pct Recovered Upfront
©2007 NPAS 14
Copay/Deduct – Group MixComparison of Net Placements and Recovery
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
000-100 101-200 201-300 301-400 401-500 501-600 601-700 701-800 801-900 901-High
Rec
over
y R
ate
Per
cent
of A
ccou
nts
in S
core
Ran
ge
Credit Scoring Index Ranges by Region Compared to Recovery Rate at NPAS
REGION 01 - Percent of Net Placements REGION 05 - Percent of Net Placements REGION 07 - Percent of Net Placements
REGION 01 - Sum of Recovery Rate REGION 05 - Sum of Recovery Rate REGION 07 - Sum of Recovery Rate
REGION 01 REGION 05 REGION 07
IndexRangePercent of Net Placements
Recovery Rate %
Percent of Net Placements
Recovery Rate %
Percent of Net Placements
Recovery Rate %
000-100 17.5% 29% 24.7% 22% 19.2% 19%101-200 4.3% 22% 6.2% 9% 8.2% 5%201-300 5.9% 21% 7.1% 12% 9.0% 15%301-400 4.8% 17% 7.4% 12% 6.2% 21%401-500 6.5% 38% 6.0% 12% 6.6% 24%501-600 3.9% 38% 5.7% 26% 5.6% 22%601-700 3.0% 45% 6.0% 26% 7.1% 51%701-800 5.0% 63% 5.1% 31% 5.2% 42%801-900 6.8% 63% 7.8% 40% 7.8% 59%901-High 42.3% 82% 24.2% 69% 25.1% 89%Grand Total 100.0% 55% 100.0% 33% 100.0% 42%
©2007 NPAS 15
48.58%
21.80%
12.22%
6.56% 4.48%4.04%
2.15% 2.24% 2.03%3.07%
0%
10%
20%
30%
40%
50%
60%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
Self Pay
©2007 NPAS 16
Self Pay - Emergency Room
52.76%
31.79%
14.41%
8.74% 6.27%
4.44%2.78% 2.79%
2.79% 3.24%
0%
10%
20%
30%
40%
50%
60%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
©2007 NPAS 17
36.39%
11.63%
8.95%
3.28% 2.08% 2.76%
0.45%1.09% 0.74%
2.10%
0%
5%
10%
15%
20%
25%
30%
35%
40%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
Self Pay - Inpatient
©2007 NPAS 18
Self Pay – Outpatient
68.54%
29.17%
21.12%
18.94%
7.42% 9.19%6.95%
4.16% 3.22%
5.88%
0%
10%
20%
30%
40%
50%
60%
70%
80%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
©2007 NPAS 19
Self Pay - Surgery
52.85%
26.24%
21.83%
14.31% 12.76%
2.70%3.87%
5.46%3.42%
8.86%
0%
10%
20%
30%
40%
50%
60%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
©2007 NPAS 20
Incorporating Predictive Results
©2007 NPAS 21
Self Pay – Work Effort
5.6
6.1
5.75.6
5.35.1 5.0 5.0 5.0
4.748.6
%
21.8
%
12.2
%
6.6%
4.5%
4.0%
2.1%
2.2%
2.0% 3.
1%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Average Work Effort Versus Recovery Rate by Index Ranges
Avg Workeffort Recovery Rate %
©2007 NPAS 22
Credit Scoring Flow (Self Pay)
Score account
Day 2, receivecredit score
Category =Low ?
Letter 1 Hold 20 days Final Notice Letter Wait 30 days
No
Yes
FC 99Day 1
Current Flow
To Agency
Note:No match, match no score and typos will follow current flowPhase II - No match may go into low
©2007 NPAS 23
Copay and Deductible
83.72%
58.98%
47.25%
36.58%
27.61%25.15%
21.57%
17.88%
13.22%
22.32%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
0%
10%
20%
30%
40%
50%
60%
70%
901-High 801-900 701-800 601-700 501-600 401-500 301-400 201-300 101-200 000-100
Rec
ove
ry P
erce
nt
Per
cen
t of T
ota
l Acc
oun
ts
Credit Scoring Index Ranges by Industry Compared to Recovery Rate at NPAS
NPAS (Hospital) Industry Average of All Industries Average of Auto Finance Bankcard Industry NPAS Recovery Rate
©2007 NPAS 24
Credit Scoring Flow (Copay and Deductible)
SP Letter
Wait 30 daysCategory =
Low ?
Final Notice Letter
Wait 30 days
No
Yes
Non FC99Day 1
Current Flow
To AgencyNotes: No match, match no score and typos will follow current flow Phase II - No match may go into low
Score Accounts Day 31Contact with
Patient or paymentreceived?
Current Flow
Yes
No
©2007 NPAS 25
Results: The Reason for Scoring
4.9 5.1
6.3
7.4
5.4
4.5 4.5 4.4
62.7%
50.9%
27.2%
11.8%
3.3% 1.5% 1.0% 1.5%
.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
901-999 801-900 701-800 601-700 501-600 401-500 301-400 201-300
2010 Recovery vs Work Effort
Avg Work Effort Recovery Rate
©2007 NPAS 26
Results: Credit Scoring Segmentation
Copay and Deductible-Low Score <$1,000
% Change
Net back % +0.47%
Average Attempts -91.64%
Average Contacts -65.96%
Average Letters -30.52%
Age at NPAS -34.38%
Self Pay-Low Score <$1,000
% Change
Net back % 1150.0%
Average Attempts -88.66%
Average Contacts -65.96%
Average Letters -4.02%
Age at NPAS -17.10%
©2007 NPAS 27
Keys to Implementation of Scoring
• Tools: Do you have the right tools to manage workflow with a score?
• Workflow: Determine what will be done with the score ahead of time
• Segmentation: What accounts will be scored? Cost can be an issue.
• ROI: What will happen to FTEs that might be working these accounts?
• Risk Tolerance: There will be accounts that are not correctly predicted
• Board Acceptance: Charity and Bad Debt processes require approval
©2007 NPAS 28
Key Performance Indicators
Evaluate – Adjust – Confirm - Predict
©2007 NPAS 29
Key Performance Indicators
©2007 NPAS 30
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
200 300 400 500 600 700 800 900 1000
Self Pay Trends
2009 Self Pay 2010 Self Pay 2009 Avg 2010 Avg Poly. (2009 Self Pay) Poly. (2010 Self Pay)
Credit Scores vs Recovery
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
110%
200 300 400 500 600 700 800 900 1000
Copay and Deductible - Trend Performance
2009 Copay and Deduct 2010 Copay and Deduct 2009 Avg
2010 Avg Poly. (2009 Copay and Deduct) Poly. (2010 Copay and Deduct)
©2007 NPAS 31
0
10
20
30
40
50
60
70
Balance Size
Re
co
ve
ry P
erc
en
tag
e
Relationship of Balance Size and Recovery Rate
For Private Pay - Co-pay and Deductibles
Balance Size vs Recovery Rate
©2007 NPAS 32
Key Indicators Cont’d
R² = 0.970
0%
10%
20%
30%
40%
50%
60%
0 to 30 Days
31 to 60 Days
61 to 90 Days
91 to 120 Days
121 to 150 Days
151 to more Days
Age Placed Related to Recovery Rate
R² = 1
0%5%
10%15%20%25%30%35%40%45%50%
No Yes
Bad Address Related to Recovery Rate
R² = 1
0%
10%
20%
30%
40%
50%
60%
No Yes
Bad Phones Related to Recovery Rate
R² = 0.924
0%
10%
20%
30%
40%
50%
60%
70%
80%
High Probability Medium Probability Low Probability
Low Scoring AccountsRelated to Recovery Rate
©2007 NPAS 33
Key Indicators Cont’d
R² = 0.075
0%10%20%30%40%50%60%70%80%90%
Letters Sent Related to Recovery RateR² = 0.890
0%10%20%30%40%50%60%70%80%90%
Phone Contacts Related to Recovery Rate
R² = 0.998
0%10%20%30%40%50%60%70%80%90%
Insurance Private Pay -CoPay and Deductible
Private Pay - Pure Self Pay
Financial Class Related to Recovery Rate
R² = 0.933
0%
10%
20%
30%
40%
50%
60%
70%
Emergency Room Inpatient Surgery Outpatient
Patient Type Related to Recovery Rate
©2007 NPAS 34
Goals of Predictive Modeling
• Utilize the right resources for working accounts• Minimize the need for external information to
determine the best segmentation philosophy • Business Analytics – will a predictive model
support a conclusion driven by something other than data?
©2007 NPAS 35
How to Use a Predicted Value
Prediction
Category
Predict Probability
©2007 NPAS 36
Cost-Reliability of Models
Timing Relevance Data Relevance
©2007 NPAS 37Prediction Made
Ideal Predictive Workflow
©2007 NPAS 38
HCA’s Results - Measuring Success
Secondary Champion-Challenger with BPO partner. Used same technology and same processes, but BPO allowed to hire, train and manage own staff.
Result:HCA processes performed 18% better than the BPO on an alpha-split champion challenge over a one year period.
Of the 40% Lift over external vendors, HCA can attribute 18% to people management, or roughly 45%.
©2007 NPAS 39
Questions?
• National Patient Account Services2700 Blankenbaker Pkwy Ste 100Louisville, KY 40299
• www.npasweb.com• 1-866-882-3582• Garett Jackson, CPA
– Chief Financial Officer– [email protected]
©2007 NPAS 40
Overcoming Objections
Identify – Understand – Overcome - Negotiate
©2007 NPAS 41
Balanced Scorecard – Incentive Plan
Weighted Factors
Gold, Silver, and Bronze payouts on bonus points
Bonus Points – 70% measuring efficiency and effectiveness of CSP
30% - Other quality measures
Red figures are below team avg (coaching opp.)
RED LINE: Must be above to bonus
©2007 NPAS 42
Balanced Scorecard - Unit
Unit Performance Index
Accumulated unit averages from bonus plan monthly with same weightings
Ranked over prior year and previous months
Index above 1.000 means better than average performance of other months
Incentivize Managers to increase results
©2007 NPAS 43
CSPs must Overcome Objections
• Reasons Why People Object:
1.Avoidance 2. Confusion 3. WIIFM• Types of Objections
1. Feeling 2. Fact 3. Hidden• Remember the six steps to overcome
objections:1. Listen 2. Empathize
3. Explore and Probe 4. Agree
5. Playback 6. Solve
©2007 NPAS 44
Negotiating for Money
THE MOST MONEY AS QUICK AS POSSIBLE• Make sure you are not automatically setting due dates out 30 days
• Post Dated/Recurring Checks• Balance Resolutions
• Explore Non Linear Resolutions• Before issuing a final notice make sure you explore a non linear
arrangement. Ask probing questions! It’s possible that the customer’s current situation may only be temporary
• Negotiate!• Statistics show that 97% of the cash collected comes from accounts that pay in
full.• Settlement offers do not have to automatically be max %• Negotiate in increments
• Sixty months is not always the right amount of time• Make sure that 60 months is your last option!• Remember this option exists only as a LAST OPTION
©2007 NPAS 45
Other Payment Sources
• Selling A/R– Cash infusion for best credit accounts only– Ensure a low-cost effort is done prior– Lots of players entering market, some are losing money
• Longer Partial Payments– Time/value of money is irrelevant if you don’t receive payment– Collection agencies charge between 10% and 35%
• Partially Paid Settlement– Combination of partial payments and settlements– Traditional settlements require a large one-time payment that
does not usually help a cash-strapped GN– Negotiation of both what the amount needs to be, and how long
to pay it off are the two basic tenets of a financial transaction.