Accounts Receivables Benchmarking

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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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