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Benchmarking Accounts Receivables:
A Whole New Way To Think
by Adam Gobin & Adam Townsend
Benchmarking
What’s the goal?
Status Quo: Track DAR by historical and/or average across 12 months
After today: Track DAR by analyzing days to pay + denial turnaround time
Average DAR Targeted Goal/Benchmark DAR
Chapter 1: Categorization of Denials
Chapter 2: Categorization of Claims/Remits
Chapter 3: Key Take-Aways
Today’s Agenda
Changing the definition of benchmarking
Payor
Provider/
Health System
Employer
Groups
Healthcare
Reform
ICD-10
Medicare Hedis
Days in Accounts Receivables (DAR) Impacts
Wow.
Chapter 1:
Categorization of Denials
Too Much Data to Develop True Understanding
Big Data can be overwhelming
It’s an incredibly complex process to create a simple one.
Denial
Centralization
Denial grouping and accurate
routing for efficient follow up
Denial Centralization
Hyper-specialization At Its Best
Medical
Documentation
Pre-cert/Auth
Registration/
Insurance
Non-Covered
Services
Duplicate
Denials
Provider
Related
Denial Centralization
Hyper-specialization At Its Best
Denial Centralization
Hyper-specialization At Its Best
Emory is using
CORE standards to
be able to effectively
redefine centralize
groups on a
recurring basis.
Chapter 2:
Categorization of
Claims/Remits
Denial Turnaround
Time Days to Pay
Denial
Centralization
Effective Benchmarking Toolbox
3 Focus Areas
Average number of days
it takes for denied claims to
get paid
The number of days it takes
for claims to get paid
Denial grouping and accurate
routing for efficient follow up
Department of Orthopaedics
Case Study
Look at data
that shows payment
after working denied
claims
This data tells us
how long it takes to
get paid after
internal processes
and insurance
processing of denied
claims
Denial
Centralization
Denial grouping and accurate
routing for efficient follow up
Department of Orthopaedics
Case Study
A B C D E
27130 18 13 12 11 12
27447 16 14 11 11 13
20610 14 12 12 15 14
29888 15 15 13 13 11
29881 17 15 13 15 16
Top Cash CPTs Resubmitted Claims
Denial
TAT
Average number of days
it takes for denied claims to
get paid
A B C D E
27130 26 21 39 29 32
27447 36 32 27 31 28
20610 31 28 26 33 33
29888 29 31 31 33 32
29881 33 29 32 32 34
Recommendations:
1. Compare paid claims vs denied claims - what’s the difference - focus in on the issues!
2. Calculate the Denial TAT by subtracting the claim resubmission date and the reject date
Goal: Decrease days to pay, increase cash flow
Avg:
13 days
Avg:
30 days
Scientific Benchmarking
Formula.
By digging into this bucket, we can figure out root
causes to reduce denial TAT. Example, diagnoses
844.2 and 840.4 were used and these indicate
sprains - the insurance company needed more
specification.
Avg:
7 days
Incredible Products
Deliverables that make your CFO Smile.
Scorecard Meaningful Target
A B C D E
27130 18 13 12 11 12
27447 16 14 11 11 13
20610 14 12 12 15 14
29888 15 15 13 13 11
29881 17 15 13 15 16
Market your days to pay scorecard at your managed
care meetings to encourage payor to pay sooner!
50 32
Accomplished an 18 day turnaround by focusing on the
top 2 CPT AR drivers - addressing coding
The average or historical DAR becomes a more real
number - a more effective and aggressive target
And One More You’d Really Love
A Brilliant one.
Predictive Analytics
A B C D E
27130 18 13 12 11 12
27447 16 14 11 11 13
20610 14 12 12 15 14
29888 15 15 13 13 11
29881 17 15 13 15 16
Predictive payment schedule
Predictive claims submission
Chapter 3:
Key Takeaways
Although DAR is a great metric…what drives the below
formula…is truly…
Days to pay.

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Accounts Receivables Benchmarking

  • 1. Benchmarking Accounts Receivables: A Whole New Way To Think by Adam Gobin & Adam Townsend
  • 2. Benchmarking What’s the goal? Status Quo: Track DAR by historical and/or average across 12 months After today: Track DAR by analyzing days to pay + denial turnaround time Average DAR Targeted Goal/Benchmark DAR
  • 3. Chapter 1: Categorization of Denials Chapter 2: Categorization of Claims/Remits Chapter 3: Key Take-Aways Today’s Agenda Changing the definition of benchmarking
  • 6. Too Much Data to Develop True Understanding Big Data can be overwhelming It’s an incredibly complex process to create a simple one.
  • 7. Denial Centralization Denial grouping and accurate routing for efficient follow up Denial Centralization Hyper-specialization At Its Best Medical Documentation Pre-cert/Auth Registration/ Insurance Non-Covered Services Duplicate Denials Provider Related
  • 9. Denial Centralization Hyper-specialization At Its Best Emory is using CORE standards to be able to effectively redefine centralize groups on a recurring basis.
  • 11. Denial Turnaround Time Days to Pay Denial Centralization Effective Benchmarking Toolbox 3 Focus Areas Average number of days it takes for denied claims to get paid The number of days it takes for claims to get paid Denial grouping and accurate routing for efficient follow up
  • 12. Department of Orthopaedics Case Study Look at data that shows payment after working denied claims This data tells us how long it takes to get paid after internal processes and insurance processing of denied claims Denial Centralization Denial grouping and accurate routing for efficient follow up
  • 13. Department of Orthopaedics Case Study A B C D E 27130 18 13 12 11 12 27447 16 14 11 11 13 20610 14 12 12 15 14 29888 15 15 13 13 11 29881 17 15 13 15 16 Top Cash CPTs Resubmitted Claims Denial TAT Average number of days it takes for denied claims to get paid A B C D E 27130 26 21 39 29 32 27447 36 32 27 31 28 20610 31 28 26 33 33 29888 29 31 31 33 32 29881 33 29 32 32 34 Recommendations: 1. Compare paid claims vs denied claims - what’s the difference - focus in on the issues! 2. Calculate the Denial TAT by subtracting the claim resubmission date and the reject date Goal: Decrease days to pay, increase cash flow Avg: 13 days Avg: 30 days
  • 14. Scientific Benchmarking Formula. By digging into this bucket, we can figure out root causes to reduce denial TAT. Example, diagnoses 844.2 and 840.4 were used and these indicate sprains - the insurance company needed more specification. Avg: 7 days
  • 15. Incredible Products Deliverables that make your CFO Smile. Scorecard Meaningful Target A B C D E 27130 18 13 12 11 12 27447 16 14 11 11 13 20610 14 12 12 15 14 29888 15 15 13 13 11 29881 17 15 13 15 16 Market your days to pay scorecard at your managed care meetings to encourage payor to pay sooner! 50 32 Accomplished an 18 day turnaround by focusing on the top 2 CPT AR drivers - addressing coding The average or historical DAR becomes a more real number - a more effective and aggressive target
  • 16. And One More You’d Really Love A Brilliant one. Predictive Analytics A B C D E 27130 18 13 12 11 12 27447 16 14 11 11 13 20610 14 12 12 15 14 29888 15 15 13 13 11 29881 17 15 13 15 16 Predictive payment schedule Predictive claims submission
  • 17. Chapter 3: Key Takeaways Although DAR is a great metric…what drives the below formula…is truly… Days to pay.