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CAC, ICD-10 and the Changing Role of the Medical Coder. AGENDA. Introduction to Computer-Assisted Coding The Coding Problems Definition of CAC “Accuracy” and “Efficiency” Changing the Role of the Coder How to use CAC for ICD-10 CDI & ICD-10 Training Implementation examples

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Presentation Transcript
slide2

AGENDA

  • Introduction to Computer-Assisted Coding
  • The Coding Problems
  • Definition of CAC
  • “Accuracy” and “Efficiency”
  • Changing the Role of the Coder
  • How to use CAC for ICD-10 CDI & ICD-10 Training
  • Implementation examples
  • Demonstrating coders work space
  • Recommendations
  • Question - Answer
slide4

The Computer-Assisted Coding Concept

  • Capture physicians’ typed documents electronically
  • Automatically extract the clinical codes using a computerized mechanism.
  • Deliver Results to the billing department real time
  • Reduce the amount coding time and costs
  • Utilize CAC for Clinical Documentation Improvement
  • Capitalize on the Global experience of countries that already have electronic documentation, ICD-10 and CAC in the healthcare environment
slide5

Automated Coding Goals

  • Streamline the process of clinical coding
  • Reduce physician paperwork
  • Increase coder productivity
  • Offset qualified coder shortages
  • Reduce denials & increase consistency
  • Create opportunities for peer review and physician-led quality review.
  • Electronically advance CDI initiatives
  • Address ICD-10 transition issues
slide6

In 1996 AHIMA’s Vision for 2006

“Coding using ICD-10-CM and ICD-10-PCS codes.......would be generated automatically at the patient’s bedside from electronic documentation with automatic queries to the physician when inadequate or inconsistent information was entered.”

- Available 15 years after AHIMA’s prediction

- US is the last 1st world country to implement

ICD-10

slide8

The Coding Problem

“Mention the word "coding" to a physician, and a clinically significant reaction occurs: The eyes widen, the neck veins throb. Teeth gnash, fists clench. Cheeks flush, brows twist into knots. A clammy dew of cold sweat spreads across the forehead….”

Medical Economics

slide9

The Coding Problem

"Clinicians are reluctant to change their workflow on the clinical side. On the administrative side, they understand they are losing large amounts of revenue with the manual process. The known problem of correct charge capture…is creating increasing anxiety in the whole healthcare sector”

Health Management Technology

slide10

The Coding Problem

“The coding task itself is daunting. Some coders are extensively educated and have attained certification in the field, but these coders are in short supply …..

“These coders must rely on the clarity and completeness of the documentation and then apply countless rules and interpretive bulletins-to identify and code all the care a patient has received. Any activity missed in either the documenting or the coding - results in lost revenue.”

Healthcare Financial Management

slide11

Medical Coding Issues

  • Rules changing all the time
  • Coders: highly skilled, scarce resource

- 40% of AHIMA respondents agree they have a shortage

  • Organizational success depends on timeliness and accuracy of coding
  • Increased scrutiny with significant risk and penalties
    • Incomplete/inaccurate results
    • Inconsistent results
  • Risk “leaving money on the table”
  • Increasing calls to abstract for quality, outcomes analysis
  • HIPAA regulations
slide12

OIG Report on Improper Payments

Improper Payments for Services With Documentation Errors in Five States

Improper Payments (in Millions)

State Documentation Errors All Errors*

A $3.19 $3.38

B $25.32 $28.56

C $71.78 $77.91

D $24.18 $26.98

E $13.42 $17.88

Total $137,880,000$154,720,000

slide13

OIG Report on Home Health Agencies

  • Office Inspector General (OIG) released a report that showed home health agencies submitted nearly 22% of claims in error because services were either not medically necessary (2.1%) or were coded improperly (20.2%). –March 2012
  • This is the first time OIG has significantly addressed home health’s coding on claims. They stated that one of the factors for this review was the fast rise in Medicare home health spending—84% from $8.5 billion in 2000 to $15.7 billion in 2007—which“leads to concerns about the potential for improper payments due to fraud and abuse.”
slide14

OIG Report on Home Health Agencies

  • More than 10 percent of claims (a value of $278 million) were considered up-coded, and 9.8% of claims (a value of $184 million) were found to be down-coded. Net loss of $94 million for the Medicare system.

The bright side? Just 2% of claims did not show medical necessity.

Agencies are doing a great job ensuring services are needed.

slide15

Payer-Provider Tension

  • Advanced automation on the Payer side
    • Full rule checking looking for objections
    • Vendors excelling in this niche
  • Software Vendors claiming ability to reduce claim payout by as much as 8% more using “cunning” strategies
  • RAC Audits accelerating
slide16

Provider Tools

  • “Scrubbers”
    • Identify code-sets that break rules
    • Highlight them for finance dept
    • Incorporate national, local and payer edits
    • EMR/EHR point n click - drop down menus
  • Coder tools
    • Encoder products
    • Incorporate CCI Edits
    • Some incorporate local/payer edits
    • Prompt the coder for action at code time
slide17

Automated coding tools can…

  • Reduce detail work for the coder
  • Increase throughput
  • Reduce inconsistency
  • Improve accuracy
  • Reduce risk
  • Increase billing opportunities
  • Ability to flag encounters for RAC, ICD-10, CDI
  • Leave less $ on the table
slide19

Computer-Assisted Coding:

“Computer-Assisted Coding (CAC) is generally defined as the use of computer software to “read” clinical documentation and automatically generate medical codes which are then reviewed and validated by a trained “human” coder.” – AHIMA

slide20

Computer-Assisted Coding:

Numerous dissimilar products out there

Confusion between EHR and CAC

EHR’s often have point/click menus with codes

Coding options that have little to do with CAC

(Options available whether you use CAC or not)

Such as viewing images and links to references

CAC Less useful as a term

slide21

“CBC is the new improved CAC”

CBC: Coded by Computer

Maintains the key elements of the original AHIMA definition:

      • Computer reads the charts and generates codes
      • Human Coder audits the results

The major benefit for CAC is EFFICIENCY.

  • Efficient implementation, efficient training and

efficient coding.

slide22

Computer-Assisted Coding:

Natural Language Processing Rules

  • Mimics some clinical behaviour:
    • Quick overview of the document to get the “gist”
    • Examination of key segments to understand events
    • Analysis of whole document looking for extra detail that changes codes
  • Words and sentences examined for clinical term matches to generate codes

2 common types; Rules-based and Statistical processing

slide23

A 3rd type of Clinically-Oriented Mechanism;

Binary Pattern Filtering

  • Binary pattern algorithms sent through one or more “filters” to derive codes.
    • ICD9, ICD10, CPT, HCPCS, specialist research sets...
  • No supervised learning process
  • No gradual improvement as hundreds of thousands of documents flow through
  • No need for vendor to retain documents as a statistical resource
slide24

NLP Enhanced: a clinically oriented mechanism

  • The Binary Pattern Filtering Process converts your

clinical documentation into a binary pattern that

retains all of the rich clinical content and detail.

  • Charts are coded passing their binary pattern

through one or more Code Set Filters – When a

match is found, the correct code is displayed.

  • Any Code Set that has an index can have a

Binary filter, such as; ICD-9, ICD-10, E & M

and CPT codes.

  • An index is list of clinical concepts with their correct codes.
slide26

“Our Patented Process

makes it easy for

clients to create

and modify filters

for their own

unique terms and

coding conventions while maintaining the highest CAC accuracy available

today.” Dr. John Ryan

slide27

Additional CAC Capabilities

  • CCI edits
  • LCD edits
  • POA alerts
  • RAC alerts
  • Payer rules - All applied at coding time
    • EFFICIENCY IS THE IMMEDIATE WIN
    • Many other benefits which are easier to achieve once you have gained the efficiency
slide28

Changing the Role of the Coder

  • Speech Recognition Technology changed

Transcription to make MT’s Editors

  • CAC transforms Coders into Auditors
  • Coders become Verification Specialists

70450-RT

slide29

Coders edit and validate the ICD-9 and/or ICD-10 codes found by the NLP engine -Saving time and money

slide30

Coder Benefits beyond production

  • Speech Recognition Technology extended

careers for some MT’s with carpal tunnel

- Spell check reduced errors

  • CAC does the heavy lifting for Coders
  • CAC reads 200 lines of text per second
  • Reduced reading - reduced eye strain

- reduces data entry by coder

slide31

ICD-10 and CAC

The value of this transition will be broad and far-reaching throughout the healthcare industry, and will result in:

• Greater coding accuracy and specificity

• Higher quality information for measuring healthcare service quality,

safety, and efficiency

• Improved efficiencies and lower costs

• Greater achievement of the benefits of an electronic health record

• Recognition of advances in medicine and technology

• Alignment of the US with coding systems worldwide

• Improved ability to track and respond to international public health

threats

• Enhanced ability to meet HIPAA electronic transaction/code set

requirements

• Increased value in the US investment in SNOMED-CT

• Space to accommodate future expansion

slide32

ICD-10 and CAC

Although ICD-10 has been used around the world for many years and it is due to be implemented in the US by October 1, 2013, for now.

It is a brand new issue for the US system that already faces numerous challenges. However, this challenge does present several opportunities there is no reason to delaypreparation.

AHIMA August 2010 survey of 838 members preparing for 5010 or ICD-10

  • 52% had not yet started preparing for ICD-10.
  • Of that 52%, 49% said they did not know when they would

begin preparation

  • 20% said they were still six months away from beginning
slide33

ICD-10 and CAC

Jump to August 2011

85 percent of respondents to the August survey said that their organizations had begun work on ICD-10 planning and implementation, a significant jump from 62 percent one year earlier.

The will to win is not nearly as important as the will to prepare to win. - Bob Knight 76’

slide34

ICD-10 and CAC

Basic Comparison of # Codes

Because of the significant increase of specificity over ICD-9, there is a large increase in the number of codes:

ICD-9-CM ICD-10-CM Change

Diagnoses 14,315 69,101 54,786

Procedures 3,838 71,957 68,119

slide35

ICD-10 In Use for Over a Decade

New Zealand

  • One of the first countries to go to Electronic Health Records
  • Transitioned to ICD-10 in 1998
  • Coded ICD-9 and ICD-10 both for 1 year
  • First 1st world country to use CAC in the 1990’s
  • US facilities can emulate the New Zealand ICD-10 experience

by coding ICD-9 & ICD-10 simultaneously

slide36

ICD-10 and CAC

  • Introducing an ICD-10 CAC tool today would allow a facility to

make rational decisions about documentation process

changes between now and 2013.

  • CAC allows facilities to assess the state of their electronic

record. Coding to ICD-10 will reveal detail on “unspecified”

codes, in which case documentation improvements starting now

may be of great benefit to the facility in due course.

  • In addition, if coders are able to review ICD-10 codes alongside

ICD-9 codes starting today, by 2013 ICD-10 will no longer

represent the serious challenge that most professionals are

expecting.

slide37

Additional Benefits/Services

  • CAC as a training tool for ICD-10
  • Concurrently code ICD-9 and ICD-10
  • ICD-10 and CAC as a judge of documentation quality
  • Unspecified” codes will always end in 9 and “other specified” codes will end in 8 - we will flag for CDIS
  • CCI edits, LCD edits, payer rules…BUT
    • INCREASED PRODUCTIVITY IS THE IMMEDIATE WIN!
    • Other benefits are easier once you have efficiency
slide38

Unique Characteristics of ICD-10

ICD-10 has moved entire codes into their own code groups.

For example, in ICD-9, “left knee osteoarthrosis” would be coded as

715.16 - Osteoarthrosis -Localized Primary Involving Lower Leg.

Now, looking at the equivalent codes in ICD-10 we notice something

is missing:

M19.01 Primary arthrosis of other joints, shoulder region

M19.02 Primary arthrosis of other joints, upper arm

M19.03 Primary arthrosis of other joints, forearm

M19.04 Primary arthrosis of other joints, hand

M19.07 Primary arthrosis of other joints, ankle and foot

M19.08 Primary arthrosis of other joints, other site

M19.09 Primary arthrosis of other joints, site unspecified

slide39

Do You Like Surprises?

At first glance it would appear that there is no equivalent

code for 715.16. A coder may be tempted to use M19.08

instead. ‘M19.08 Primary arthrosis of other joints, other site’

This would be incorrect indeed.

The correct code to use would be M17.1 - Other primary

gonarthrosis – which is in an entirely different section!

This scenario is extremely common when changing

from ICD-9 to ICD-10 – but if a coder has already been

exposed to these sorts of changes prior to actually

coding using ICD-10 then it won’t be such a surprise.

slide40

“Facility On-Site Database”

  • Facility drops HL7 records in a designated folder
  • Cases submitted to Computer-Assisted Coding engine
  • Documents and CAC codes are retained in customer database
  • Codes and documents retrieved for display to coder/auditor
  • Assisted process for variance analysis
  • Productivity and other reporting tools.
  • Comply with new HITECH/HIPAA PHI policies
slide41

Efficient Integration

  • Computer-Assisted Coding: prefers to interface with your existing (or preferred) tools
  • Example: Encoder: Computer-Assisted Coding solution pre-fills fields on the encoder screen
    • No new process for the coder who is now an auditor/verification expert, not a data entry clerk.
  • Resulting codes feed the billing system exactly as they do today
  • Minimal disruption to the organization
slide43

Coder\'s process with CAC

CAC Engine

Electronic Documents are coded

by the CAC engine & displayed to coders for validation before being sent to Encoder for DRG and billing

slide47

Accuracy has a special meaning in CAC

  • AHIMA Paper 2009 – Measuring CAC Accuracy

“reproducible method to measure complexity”

  • AHIMA Paper 2010 – Using CAC for ICD-10 CDI

“method for documentation improvements”

  • Another due for AHIMA 2012
  • Whitepapers Available upon request
slide48

Efficiency Expectations

  • Outpatient Diagnostic:
    • 100% efficiency improvement simply by dropping in CAC
      • No process improvement, minimal training
      • 100% after 1 month of experience
  • Same-day Surgery:
    • At least 100% efficiency improvement
  • “Head in the Game” can multiply improvements
slide49

Efficiency Expectations

  • Inpatient Charts:

- 200% efficiency improvement acheivable

    • Depending upon electronic documentation
    • POA, RAC, MNE all applied at coding time
  • Large volumes no problem for CAC
    • CAC reads & codes a 250 page chart before a coder can finish page 1
    • Concurrent Coding made easy
    • CAC recodes the entire encounter
slide50

Better deployment of Coders/Auditors

  • Coder numbers will be reduced, not eliminated.
  • Coders’ jobs will move on from data entry.
  • Information management, accreditation, auditing, reporting, research.
  • Teaching the clinicians.
  • Capturing hand-written notes.
  • Prompting coders for physician queries
slide51

Reporting, Audits, Hospital-acquired..

  • Concurrent coding
  • Retention of source justification for Audit, RAC
  • Flags for POA - HAC
  • Alerts the Coders during review
  • Scheduled Reports that automatically email supervisors, auditors and CDI specialists
  • Complete Audit trail – every action monitored
slide52

Preparing your Organization for CAC

  • Evaluate existing clinical documentation

- CAC tools require electronic clinical documentation

  • Assess current coding workflow

- Assess what is being done currently, step by step

- identify how use of a CAC tool would alter the current workflow

  • Define expectations for balancing productivity

and accuracy

-Identify your “gold standard” for translating clinical data into medical

codes. What level of productivity is acceptable?

  • Define organizational goals and objectives

- CAC may be necessary for an organization that is often short staffed

- Or a Radiology practice that employs no coding staff looking to improve

compliance

  • Develop a testing and audit plan

- perform random audits and consider complexity of coding

slide53

Recommendation - Phased in Approach

  • Start with SDS or Diagnostics
    • Aim for 100% efficiency improvement
    • Benefits flow back to all other coding
    • Electronic documentation in most facilities
  • Inpatient:
    • Process charts from day 1 for ICD-10
    • Use ICD-10 results for advance training
    • Flag/Audit “unspecified” codes for documentation improvement in 2013
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