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Denial Prevention:  Addressing Root Causes through Data Analytics and a Team-based Culture Denial Prevention:  Addressing Root Causes through Data Analytics and a Team-based Culture

Denial Prevention: Addressing Root Causes through Data Analytics and a Team-based Culture - PowerPoint Presentation

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Denial Prevention: Addressing Root Causes through Data Analytics and a Team-based Culture - PPT Presentation

1 Tracey Tomak RHIA PMP Senior Director Project Management and Client Engagement Intersect Healthcare Inc Towson MD 2 Title Version C Learning Objectives At the completion of this educational activity the learner will be able to ID: 781131

root service codes data service root data codes code diagnosis reason blue denial cases issue revenue management procedure payer

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Slide1

Denial Prevention: Addressing Root Causes through Data Analytics and a Team-based Culture

1

Slide2

Tracey Tomak, RHIA, PMP

Senior Director, Project Management and Client Engagement

Intersect Healthcare, Inc. Towson, MD

2

Slide3

Title Version C

Learning Objectives

At the completion of this educational activity, the learner will be able to:

Define data, data analysis, information and knowledge management

Identify key contributors of data in various healthcare settings

Clearly distinguish the difference between Reason Code, Issue and Root Cause

Determine what data elements are relevant for analysisEstablish an action plan based on the information obtained from data analysis (including reports and key stakeholders)

3

Slide4

4

Defining Data Analytics

Slide5

Data - Defined

5

facts and statistics collected together for reference or analysis

the quantities, characters, or symbols on which operations are performed by a computer, being stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media.

Webster’s Dictionary

Slide6

Data – Examples of Revenue Cycle Data

6

Primary Diagnosis Codes

Secondary Diagnosis Codes

Procedure codes

Revenue Codes

Hospital Service Codes

Attending Physician

Ordering Physician

Operating Physician

Admit Source

Slide7

Data Analysis - Defined

7

1.

A resolution of anything, whether an object of the senses or of the intellect, into its constituent or original elements; an examination of the component parts of a subject, each separately, as the words which compose a sentence, the tones of a tune, or the simple propositions which enter into an argument. It is opposed to synthesis.

3.

(Logic)

The tracing of things to their source, and the resolving of knowledge into its original principles

Webster’s Dictionary

Slide8

Data Analysis – Within the Revenue Cycle

8

Diagnosis and Procedure Codes – Are they supported by the documentation? Volume by physician, by hospital service?

Revenue Codes – Are they appropriate for the setting? Are the correct units reported?

Hospital Service Codes – Assists when drilling down to where certain patterns are appearing in the organization.

Type of physician – Just because the Attending MD is reported on a case with an error, do not be quick to place fault on the attending MD. Consider also the type of service (consulting specialist or surgeon for example)

Admit Source – Was the admit source captured appropriately? (example – urgent, direct admit, emergent)

Slide9

Information - Defined

9

1.

The act of informing, or communicating knowledge or intelligence.

2.

Any fact or set of facts, knowledge, news, or advice, whether communicated by others or obtained by personal study and investigation; any datum that reduces uncertainty about the state of any part of the world; intelligence; knowledge derived from reading, observation, or instruction.

Webster’s Dictionary

Slide10

Information – Revenue Cycle Information

10

Diagnosis and Procedure Codes – insufficient documentation is present, Dr. X’s patients have the highest percentage of sepsis compared to other specialists in the same service line.

Revenue Codes – There are multiple units of Revenue Code 360 being reported on a single day out of ambulatory surgery in Pavilion B only.

Hospital Service Codes – Service code CAR had 50K written off last month due to Reason Code 197 (authorization issue).

Type of physician – Dr. Z is an attending in CAR.

Admit Source – 100 cases were denied by Anthem last week and all were billed with Admit Source = Urgent.

Slide11

Knowledge Management -Defined

11

Efficient handling of information and resources within a commercial organization.

Oxford English Dictionary

Slide12

Knowledge Management – Revenue Cycle

12

Information:

Hospital Service Codes – Service code CAR had 50K written off last month due to Reason Code 197 (authorization issue)

Knowledge Management (transforming the information into relevant context and determining next steps):

For Example:

95% of the write-offs for lack of auth were for one test, one insurance payer and came out of CAR. Need to follow-up with staff to determine how they are obtaining or NOT obtaining authorizations for this test and establish a new process OR discuss with the payer if this is not a requirement found in the payer manual or contract.

Slide13

13

Revenue Cycle Data Sources

in

the Healthcare Setting

Slide14

Common Data Sources - Admitting

14

Patient demographics

Payer and payer plan information

Financial Class

Admitting/ordering physician

Authorization information

Admission Date and time

Service Site

Service Type

Test ordered

Discharge Date, disposition and time

Slide15

Common Data Sources - Charging

15

CPT service/procedure codes

Revenue codes

Charged units

Line item Description

Unique charge code

Modifiers

Line item charge amount

Slide16

Common Data Sources –Coding/Abstracting

16

Diagnosis codes

Procedure codes

DRGs

APCs

HACs

Physicians – Attending, consulting, operating

Admit Type

Discharge disposition

Modifiers

Slide17

Common Data Sources - Billing

17

Condition codes

Modifiers

Occurrence codes

Billed units

Non-covered charges

Bill type

Slide18

Common Data Sources –

EOB/remittance

and Follow-up18

Reason Codes

Issues

Write-off codes

Denial and variance volumes

Audit volumes

Audit outcomes

Root Causes

Medical Record Requests (Pre-pay and post-pay : RFI, ADR, etc.)

Contractual Adjustments

Line level vs. claim level adjustments/denials

Slide19

19

Distinguishing between Reason Code, Issue

and

Root Cause

Slide20

Reason Code

197- Payment adjusted for

absence of recertification/ authorization.Issue

No Auth at all

Wrong Auth

Wrong date of service

Wrong CPT code Wrong SettingMissed recertification – Length of stay, Level of care, number of visits20Reason Code 197 versus Denial “Issue”

Slide21

Reason Code

50- Non-covered: Not Medically Necessary

IssueWrong settingLack of approved diagnosis for test/service

Lack of documented prior “conservative treatments”

Maximum billable units exceeded

21

Reason Code 50 versus Denial “Issue”

Slide22

Reason Code

197- Payment adjusted for absence of recertification/

authorization.Root Cause

No attempt

Different service/test ordered than performed

Rescheduled to a different date of service- no notification to the payer

Documentation does not support IP level of careNo attempt to add days to an inpatient stay beyond initial certificationFailure to request approval for additional rehab visits22Root Cause for Denial Reason Code 197

Slide23

Reason Code

50- Non-covered: Not Medically Necessary

Root CauseDocumentation does not support IP level of care

Lack of documented specificity in reason (sign/symptom/diagnosis) for service

Lack of documentation on the facility record

Unaware of medical policy or documentation not supporting the need for more units.

Charge or coding error23Root Cause for Denial Reason Code 50

Slide24

24

Determine relevant data elements for analysis

Slide25

Knowing the Audience – Who cares? And Why?

25

C-Suite

– High-level volume of cases and $$ at risk or fatal

Clinical Directors

– charging and documentation issues specific to their oversight

Revenue Cycle Leaders

– Admitting, Registration, Scheduling, Coding, CDI, Billing, Follow-up, Chargemaster, Revenue Integrity

Managed Care/Contract Management

– patterns of abuse by payers

Payers

– combat misuse and disputes with data

Physicians

– why does it matter to them?

Information Services

– lack of proper interfaces, unable to collect supporting documents from EMR

Slide26

Sample Report – High Level

26

No Precert/Authorization Quarterly Denials - Chart

This chart can be used as a management educational tool.

Slide27

Sample Report – Line Level from 835/EOB

27

Line Item Adjustments from the Primary Payer - Current Month

A management report that you can see your line item denial reasons and the adjusted dollars by facility, payer, revenue center.

Remit Date

Insurance Payer

Reason CD

Reason Code Description

Proc CD

Procedure Code Description

Revenue CD

Revenue Code Description

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0250

 

0250

Pharmacy - General

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0300

 

0300

Lab - General

7/13/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0300

 

0300

Lab - General

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0301

 

0301

Lab - Chemistry

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0301

 

0301

Lab - Chemistry

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0301

 

0301

Lab - Chemistry

7/28/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0301

 

0301

Lab - Chemistry

7/13/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0302

 

0302

Lab - Immunology

7/13/2018

TX-Blue Cross Blue Shield of Texas

11

Diagnosis inconsistent w/ Procedure.

0302

 

0302

Lab - Immunology

Slide28

Sample Report (Graph) – Audit Issue (Reason Code)

28

Audit Issues For The Current Year Trend

This report is trending the audit issues by the notice date of the ADR/Denial.

Slide29

Sample Trending Report –

Audit Issues with At Risk $$ and # of cases

29

Audit Issues For The Current Year Trend

This report is trending the audit issues by the notice date of the ADR/Denial.

# of Cases

Audit Issue

Initial At Risk

Expected Reimbursement

Initial Appealed $

Total Appeal Recovered $

2

Authorization was not obtained for one or more days of inpatient stay

$369,811.61

$360,902.46

$8,909.15

$0.00

2

Commercial - Experimental/Investigational

$62,213.00

$92,909.13

$0.00

$0.00

950

Commercial - Inpatient Setting Not Medically Necessary

$28,285,231.79

$5,052,664.76

$24,094,456.42

$5,405,777.96

2

Coordination of Benefits issue - Primary insurance not billed first / pre-auth not obtained

$38,323.34

$31,874.50

$0.00

$0.00

6

GOVT-MEDICAL NECESSITY DENIAL

$427,393.97

 

$324,597.37

$0.00

1

GOVT-PATIENT TYPE DENIAL

$10,020.07

 

$10,020.07

$0.00

21

Medical Necessity

$700,456.64

$227,132.56

$503,999.04

$21,261.90

1

Medical Necessity of Transcatheter Mitral Valve Replacement Procedures

$105,240.37

$105,240.37

$0.00

$0.00

2

Pre-authorization not obtained due to no insurance on account at time pre-auth required

$46,378.06

$46,378.06

$0.00

$0.00

202

Readmission within 30 days

$11,360,914.80

$3,881,051.20

$8,488,394.89

$660,890.45

17

RETRO-LEVEL OF CARE DENIAL

$682,651.26

$603,909.87

$630,567.38

$0.00

3

RETRO-MEDICAL NECESSITY DENIAL

$93,711.70

 

$93,711.70

$10,914.79

373

RETRO-PRE-CERT DENIAL

$12,876,201.24

$4,717,329.67

$9,216,843.03

$1,221,577.29

363

Service Requires Authorization

$14,735,372.10

$3,526,141.34

$12,453,121.71

$2,354,508.61

Slide30

30

Reporting Data to

Drill down to the Root Cause”

Slide31

Sample Trending Report (Graph) –

Root Cause by case created

31

Root Cause For The Current Year Trend

This report is trending the root cause by the case created date of the ADR/Denial for the current year.

Slide32

Sample Trending Report (Detail)–

Root Cause by case created

32

Root Cause For The Current Year Trend

This report is trending the root cause by the case created date of the ADR/Denial for the current year.

# of Cases

Root Cause

Initial At Risk $

Expected Reimbursement

Initial Appealed $

Total Appeal Recovered $

2

Billed principal diagnosis not present at admission

$99,439.11

 

$99,439.11

$82,847.95

1

Billed Principal Diagnosis not principal reason

$9,536.43

 

$9,536.43

$9,536.43

2

Case Created in Error

$22,858.72

 

$0.00

$0.00

4

Coding Error

$70,542.64

 

$28,988.05

$28,988.05

3

Duplicate Case Entry

$55,038.83

 

$0.00

$0.00

1

Experimental or

Investigational

$39,354.51

 

$0.00

$0.00

97

Level of Care

$3,261,097.92

$481,886.12

$2,323,284.75

$487,194.75

16

Missing or Additional Documents Required

$723,398.71

$14,692.02

$166,609.00

$0.00

5

No Inpatient Order

$89,558.98

$28,452.88

$0.00

$0.00

125

No Pre-certification/No Authorization

$6,502,541.82

$582,894.17

$6,321,550.24

$915,663.54

252

Not Medically Necessary

$7,499,643.07

$168,285.42

$6,516,640.38

$1,767,074.79

167

Other: Explained in Notes

$3,992,295.05

 

$3,698,749.78

$77,965.59

1

Past Timely Filing - See Notes

$28,022.96

 

$0.00

$0.00

1

PH-AUTH-Clinical not submitted or not submitted timely

$39,851.10

$40,332.70

$39,851.10

$0.00

1

PH-AUTH-No authorization

$69,372.41

 

$69,372.41

$0.00

Slide33

33

Establishing an action plan based on the information obtained from root cause

data

analysis

Slide34

Root Cause Analysis

34

In Slide

30

we can see that this organization has issues with denial issues that are both recoverable (by appeals) and fatal (not recovered even when appealed)

We can also see that there are issues recovered which account for high volume and low volume # of cases

Additionally, we can see initial at risk vs. recovered $

With this little bit of analysis, we can begin to identify those trends that we will want to investigate and form an action plan for denial prevention

Slide35

Root Cause Analysis - Prioritizing

35

Priority

# of Cases

Root Cause

Initial At Risk $

Expected Reimbursement

Initial Appealed $

Total Appeal Recovered $

1

252

Not Medically Necessary

$7,499,643.07

$168,285.42

$6,516,640.38

$1,767,074.79

2

125

No Pre-certification/No Authorization

$6,502,541.82

$582,894.17

$6,321,550.24

$915,663.54

3

97

Level of Care

$3,261,097.92

$481,886.12

$2,323,284.75

$487,194.75

4

2

Billed principal diagnosis not present at admission

$99,439.11

 

$99,439.11

$82,847.95

5

167

Other: Explained in Notes

$3,992,295.05

 

$3,698,749.78

$77,965.59

Slide36

Root Cause – Action plan

36

Issue 1 – Not Medically Necessary

Pull the detail on the 252 cases and drill further down by hospital service, service type, payer, etc.

Review detailed notes from admitting, case management, appeals, etc.

Identify any trends that may be present among the cases

Meet with key stakeholders where patterns/trends exist to develop an action plan for Process Improvement (PI)

Examples of PI: Retraining for UM/CM staff on use of clinical care guidelines such as Interqual or Millimen, use of peer-to-peer opportunity, use of MD Advisors, payer discussion, documentation improvement, etc.

Slide37

Root Cause – Action plan

37

Issue 2 – No Pre-certification/No Authorization

Pull the detail on the 125 cases and drill further down by hospital service, service type, payer, etc.

Review detailed notes from admitting, case management, appeals, etc.

Identify any trends that may be present among the cases

Meet with key stakeholders where patterns/trends exist to develop an action plan for Process Improvement (PI)

Examples of PI: Retraining for scheduling, admitting, case management, physician offices, etc.

Slide38

Root Cause – Action plan

38

Issue 3 – Level of Care

Pull the detail on the 97 cases and drill further down by hospital service, service type, payer, etc.

Review detailed notes from admitting, case management, appeals, etc.

Identify any trends that may be present among the cases

Meet with key stakeholders where patterns/trends exist to develop an action plan for Process Improvement (PI)

Examples of PI: Retraining for scheduling, admitting, case management, physicians, discussion with specific payers and contract management, etc.

Slide39

Root Cause – Action plan

39

Issue 4 – Billed principal diagnosis not present at admission

Pull the detail on the 2 cases and provide feedback to coding for review

This is a low volume issue with high potential $$ and possibly a training issue

Slide40

Root Cause – Action plan

40

Issue 5 –

Other: Explained in Notes

Pull the detail on the 167 cases and drill further down by hospital service, service type, payer, etc.

Review detailed notes from admitting, case management, appeals, etc.

Identify any trends that may be present among the cases

Meet with key stakeholders where patterns/trends exist to develop an action plan for Process Improvement (PI)

This issue may require further root causes to be built if additional patterns are identified

Perform PI as needed

Slide41

41

Summary

Slide42

Summary

42

In order to prevent denials in the future, it is important to collect valid data based on actual root cause rather than simply relying on the reason codes returned by payers on 835/EOB/remittances.

This data can become valuable information when reported and analyzed for patterns and trends.

Slide43

Summary

43

When appropriately collected and analyzed, this information can be used to further define the service site, service type, payer and possibly physicians where the issues are originating and education and training can be offered to decrease denials caused by internal failures.

This information may also be used in discussion with payers to establish specific contract terms regarding payment and appeal rights.

Root Cause analysis is not a revenue cycle only matter – this effort will require breaking down silos and having honest discussions about internal processes that may require re-education, training and/or revision.

Slide44

44

Thank you. Questions?

Tracey A. Tomak, RHIA, PMP

ttomak@intersecthealthcare.com