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Capitalizing on the ICD-10 Coding System:
What Healthcare Organizations
Need to Know
With a successful transition to ICD-10 behind them,
healthcare organizations must now focus on
leveraging the system to strengthen their overall
competitive advantage.
Executive Summary
Healthcare organizations’ largely successful
transition to ICD-10 is only the first step in
exploiting the system’s capabilities to drive
competitive advantage. They now need a clear
strategy and tactical game plan to deepen
insights, improve quality and achieve better
outcomes.
This involves minimizing revenue leaks,
improving outcome and quality measures, and
exploring the opportunities made possible by
ICD-10’s additional diagnostic specificity and
new clinical definitions.
ICD-10: The Journey Has Just Begun
When the final rule for ICD-10 was published in
2009, healthcare organizations were concerned
about the massive investment required to
transition to the new coding system. Nonethe-
less, the industry was convinced of its value.
Many payers and providers indicated they would
make use of the granularity in the ICD-10 code
set to remediate their organization’s business
processes and IT systems to strengthen their
competitive advantage.
Yet conflicting priorities, including the
Affordable Care Act (ACA) mandate, the rollout
of health insurance exchanges and meaningful
use requirements, jostled for position during the
industry’s ICD-10 transition. In fact, the ICD-10
implementation deadline was extended twice.
Between 2013 and the rule’s final implementa-
tion in 2015, many healthcare entities narrowed
their focus – limiting their activities to simply
achieving compliance with ICD-10 requirements,
rather than capitalizing on the coding specific-
ity offered by ICD-10 (see Figure 1).
cognizant 20-20 insights | may 2016
• Cognizant 20-20 Insights
cognizant 20-20 insights 2
ICD-10 Investments
In 2010, America’s Health Insurance Plans
(AHIP) surveyed health plans to estimate
the cost of ICD-10 implementation.1
By 2013,
when compliance became the primary goal,
healthcare organizations had made significant
investments in ICD-10 remediation, systems and
training, which they had initially anticipated
based on AHIP’s survey (see Figure 2).
Although these numbers can vary significant-
ly among health plans – based on the number
of lines of business, remediation approaches,
business processes and IT portfolios – in general,
both payers and providers invested heavily in
becoming ICD-10 compliant.
The investments initially paid off. On October 1,
2015, years of anxiety and excitement surround-
ing ICD-10 translated into a largely eventless,
smooth transition. ICD-10 claim volume reached
90% to 95% by year-end 2015, and denial rates
were well within norms (1.6 to 2%). Today, many
plans and providers are dismantling their pro-
gram-management offices (PMO), task forces
and control centers – signaling that their ICD-10
transition is complete. 	
Yet in reality, the transition to ICD-10 is just the
beginning. In order to fully exploit the power of
ICD-10 and drive competitive advantage well
beyond 2016, healthcare organizations will
need to apply their ICD-10 investments to gain
actionable insights – enabling them to succeed in
critical areas like population health management;
improved HEDIS (Healthcare Effectiveness Data
and Information Set); CMS (Centers for Medicare
and Medicaid Services) Star Ratings; and value-
based reimbursements, to name a few.
From Transition to Strategic Advantage
Today, healthcare organizations aim to ensure
business continuity during the ICD-10 post-tran-
sition period (the data fog stage) that will extend
into 2017. Simultaneously, they should create
Shifting Priorities
Figure 1
2009-2010
Implement ICD-10 to achieve
strategic/competitive advantage
2013-2015
Just get compliant
Plan Size Member Base Per-Member
Average Cost
($)
Small < 1 	Million $ 38
Medium 1-5 	Million $ 13
Large > 5 	Million $ 11
ICD-10 Implementation Costs
Source: AHIP Survey of 20 sample health plans in
September 2010
Figure 2
The transition to ICD-10 is just the
beginning. In order to fully exploit
the power of ICD-10 and drive
competitive advantage well beyond 2016,
healthcare organizations will need
to apply their ICD-10 investments
to gain actionable insights.
cognizant 20-20 insights 3
a strategy for capitalizing on ICD-10 in four
key areas: identifying and eliminating financial
divergence; reducing revenue leaks in Medicare
Advantage; improving HEDIS and CMS Star
quality ratings, and enhancing care-manage-
ment functions.
Identifying & Eliminating Financial Divergence
Historically, most health plans and providers
performed financial neutrality analysis (FNA).
Unlike FNA, financial divergence analysis
focuses mainly on coding inaccuracies that lead
to diagnostic-related group (DRG) changes and
financial divergence.
Financial divergence analysis also uses ICD-10
claims, and enables backward mapping to ICD-9
for payment comparisons. This is expected to
reveal any discrepancies that were missed in FNA,
which is primarily based on forward mapping.
We highly recommend that health care organiza-
tions conduct a financial divergence analysis on
a quarterly basis to detect susceptible DRG shifts
and payment variances caused by coding errors.
This is key to minimizing financial risk, especially
given the learning curve required for coders to
become ICD-10 proficient and the low percentage
of coding accuracy seen during the national
pilot program. The analysis should be comprehen-
sive – encompassing financial divergence as well
as upcoding, downcoding, provider communica-
tions and medical record reviews (see Figure 3).
During the data fog period (2015-2017), we advise
health plans to conduct periodic ICD-10-focused
provider audits to address gaps in documenta-
tion and coding. Findings from these audits can
provide valuable inputs/insights to enhance
various edits/rules around prospective and retro-
spective detection of overpayments, and prevent
fraud, waste and abuse.
Reducing Revenue Leaks in Medicare
Advantage
For the first time, Medicare Advantage plans must
process both ICD-9 and ICD-10 claims to arrive at
population risk scores. One-to-many mappings
in ICD-10 and associated complexity in hierarchi-
cal condition category (HCC) groups require sig-
nificant analysis and validation of the risk score.
Limited exposure to the new ICD-10 coding system
may introduce gaps in diagnosis coding, leading to
under-estimation of risk scores and revenue leaks.
Plans need a statistical, model-driven analysis
using historical and current claims to identify
susceptible and missing HCC codes and eliminate
revenue leaks.
In addition, ACA mandates that insurance
entities that offer plans through health
insurance exchanges (HIXs) establish a risk-
adjustment program. This involves transferring
funds from health insurance plans that enroll
lower-risk individuals to plans that enroll those
at higher risk. Plans need an effective risk-
adjustment and data validation (RADV) program –
including claims auditing – to ensure that the
We highly recommend that health
care organizations conduct a
financial divergence analysis on a
quarterly basis to detect susceptible
DRG shifts and payment variances
caused by coding errors.
Financial Divergence Analysis
Figure 3
FINANCIAL DIVERGENCE
• DRG shifts for susceptible
claim categories
• Reimbursement calculation,
payment variances
• Tool-driven analysis of
claims
• Recommendations and
action plan
PROVIDER
• Inputs for periodic provider
communication on coding,
documentation gaps
• Recommendation on
contract
negotiations/changes
CODING ACCURACY
• Claim categories for code
review
• Code review for selected
claims by certified coders
• Identification of coding
inaccuracies and gaps
• Recommendations and
action plan
MEDICAL RECORD REVIEW
• An optional service for
medical record review
• Recommendations and
action plan for provider
communication
Divergence-10
216-3712
cognizant 20-20 insights 4
clinical conditions of the members (including com-
plications/comorbidities) are captured through
proper documentation and coding.
Improving Quality Ratings
ICD-10 has a direct impact on HEDIS, physician
quality and reporting systems (PQRS) and CMS
Star ratings. The CMS Star rating system in
particular exerts a strong influence on individual
consumers shopping for health insurance. While
Medicare Advantage plans that earn at least four
stars are eligible for additional incentives from
CMS, those that earn low-star ratings are likely to
be penalized.
Although payers have remediated their HEDIS
systems and data-capture processes to comply
with ICD-10, the quality measures and Star ratings
will only be as good as the quality of incoming
ICD-10 claims. Unfortunately, inaccuracies were
as high as 45% in specific claim categories in
the ICD-10 National Pilot Program2
led by HIMSS/
WEDI during 2013. Physicians and coders must
negotiate a significant learning curve before
they can achieve higher coding accuracy. It is
therefore critical that health plans use ICD-10
claims received in the fourth quarter of 2015 and
throughout 2016 data to audit coding accuracy
and ensure proper documentation.
Enhancing Care Management
Population Management & Value-Based
Reimbursement
ICD codes are used extensively in various
health-management programs, including care
and population management (identifying at-risk
populations, disease management, utilization
management and care coordination, for example).
ICD-10 provides tremendous opportunities to
improve these initiatives through its diagnostic
specificity and new clinical definitions – par-
ticularly regarding chronic conditions such as
asthma, diabetes, obesity and heart disease.
The level of detail captured during initial and
subsequent episodes of care can eventually
yield a clearer picture of the quality of care
an individual patient received and the related
outcomes. Similar data, once aggregated and
depersonalized, can help organizations identify
best practices for coordinating care protocols for
a particular condition within a specific population.
Additionally, the industry is moving away from
the fee-for-service model to outcome-centered
or value-based payments. Furthermore, Health
and Human Services (HHS) has set a goal of
tying 85% of all traditional Medicare payments to
quality or value by 2016, and 90 percent by 2018.3
Performance, clinical and quality measures form
the foundation for different payment models
in the value-based reimbursement continuum.
ICD-10 codes will provide a wealth of clinical infor-
mation – enabling payers to design effective, val-
ue-based care programs in the coming years.
Coding Accuracy & Documentation Review
It’s important for hospitals to periodically review
claims/encounter data to identify coding gaps and
issues in order to improve coding-staff accuracy
and productivity. Coding accuracy is fundamen-
tal to reducing denials, enhancing cash flow and
driving incentives through quality-improvement
measures. In the pilot program studies conducted
by HIMSS and WEDI in 2013,4
coding inaccura-
cies for certain clinical conditions reached as
high as 45%. In our view, it could take a full year
for physician practices and hospitals to achieve
90%-plus accuracy in ICD-10 coding. In light of
this learning curve and potential coding errors
over the coming months, healthcare organiza-
tions must systematically work to improve this
critical function. Our advice:
•	Establish an effective control mechanism over
the next few years to achieve consistency
among coders.
•	Ramp up auditing – focusing on both pre-bill
and retrospective audits to detect coder defi-
ciencies and identify gray areas that can be
addressed through education.
•	Educate coders on an ongoing basis to improve
productivity and accuracy.
•	Engage physicians to ensure the adoption of
new clinical documentation processes, and the
use of specific codes in every possible scenario
to collect accurate codes.
Cases for documentation reviews can be identified
based on the number of queries to physicians and
coder productivity.
The ICD-10 Journey: Moving Forward
The focus areas we identified here – arresting
revenue leaks, financial divergence analysis and
improving HEDIS/Star ratings, for example –
ICD-10 codes will provide a wealth of
clinical information – enabling payers
to design effective, value-based care
programs in the coming years.
cognizant 20-20 insights 5
should be viewed as starting points for realizing
quantifiable ROI from ICD-10 investments.
Looking ahead, organizations can continue to
optimize operations and explore the opportu-
nities opened by ICD-10’s rich data sets, which
continue to accumulate.
There are key steps healthcare entities can take
now to build and sustain momentum for making
the most of ICD-10:
•	Develop short- and long-term game plans for
reaping the benefits of ICD-10.
•	Identify an ongoing, ICD-10 strategic initia-
tives team. (The team should comprise clinical,
IT, data analytics, quality and administrative
personnel, augmented by external consulting
services as needed.	
•	Target sources of funding for continuing ICD-10
activities. It can be difficult to garner capital
funds; it is often easier to earmark operational
funding in existing budgets for ongoing reviews
and analyses.
The smooth transition to ICD-10 marks a
milestone, but not the end of the journey. Plans
and providers need a game plan for realizing
strategic benefits from their ICD-10 invest-
ments. Healthcare organizations that commit
to periodic audits and reviews of incoming
ICD-10 claims data from revenue-manage-
ment, quality and care-management perspec-
tives throughout 2016 can realize significant
advantages from their treasure troves of ICD-10
data. The potential savings and efficiency gains
from these efforts – in 2016 and beyond – can
create the financial flexibility to act on oppor-
tunities powered by ICD-10 data, such as better
population health management. Healthcare
organizations that take the lead will be well
positioned for sustainable success.
Healthcare organizations that
commit to periodic audits and reviews
of incoming ICD-10 claims data from
revenue-management, quality and
care-management perspectives
throughout 2016 can realize
significant advantages from their
treasure troves of ICD-10 data.
About Cognizant
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business
process outsourcing services, dedicated to helping the world’s leading companies build stronger business-
es. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction,
technology innovation, deep industry and business process expertise, and a global, collaborative work-
force that embodies the future of work. With over 100 development and delivery centers worldwide and
approximately 221,700 employees as of December 31, 2015, Cognizant is a member of the NASDAQ-100,
the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and
fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on Twitter: Cognizant.
About Cognizant Business Consulting
With over 5,500 consultants worldwide, Cognizant Business Consulting offers high-value digital business
and IT consulting services that improve business performance and operational productivity while lowering
operational costs. Clients leverage our deep industry experience, strategy and transformation capabilities,
and analytical insights to help improve productivity, drive business transformation and increase share-
holder value across the enterprise. To learn more, please visit www.cognizant.com/consulting or e-mail us
at inquiry@cognizant.com.
World Headquarters
500 Frank W. Burr Blvd.
Teaneck, NJ 07666 USA
Phone: +1 201 801 0233
Fax: +1 201 801 0243
Toll Free: +1 888 937 3277
Email: inquiry@cognizant.com
European Headquarters
1 Kingdom Street
Paddington Central
London W2 6BD
Phone: +44 (0) 20 7297 7600
Fax: +44 (0) 20 7121 0102
Email: infouk@cognizant.com
India Operations Headquarters
#5/535, Old Mahabalipuram Road
Okkiyam Pettai, Thoraipakkam
Chennai, 600 096 India
Phone: +91 (0) 44 4209 6000
Fax: +91 (0) 44 4209 6060
Email: inquiryindia@cognizant.com
­­© Copyright 2016, Cognizant. All rights reserved. No part of this document may be reproduced, stored in a retrieval system, transmitted in any form or by any
means, electronic, mechanical, photocopying, recording, or otherwise, without the express written permission from Cognizant. The information contained herein is
subject to change without notice. All other trademarks mentioned herein are the property of their respective owners.
About the Author
Palani Munisamy is a Director within Cognizant Business Consulting’s Healthcare Practice. He has
more than 15 years of experience in solution consulting, business development and client relationship
management. Palani also has significant experience in managing large transformational and regulatory
initiatives, and is a certified Managed Healthcare Professional (MHP) from Health Insurance Association
of America (HIAA). Palani has co-authored numerous white papers on healthcare IT and business issues.
He can be reached at Palani.Munisamy@Cognizant.com.
Codex 1843
Footnotes
1	 “Health Plans’ Estimated Costs of Implementing ICD-10 Diagnosis Coding by America’s Health Insurance
Plans,” AHIP, September, 2010.
2	 “ICD-10 National Pilot Program: Outcomes,” HIMSS & WEDI, October 21, 2013.
3	 http://www.hhs.gov/about/news/2015/01/26/better-smarter-healthier-in-historic-announcement-hhs-sets-
clear-goals-and-timeline-for-shifting-medicare-reimbursements-from-volume-to-value.html.
4	 ICD-10 National Pilot Program: Outcomes, HIMSS & WEDI, October 21, 2013.

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Capitalizing on the ICD-10 Coding System: What Healthcare Organizations Need to Know

  • 1. Capitalizing on the ICD-10 Coding System: What Healthcare Organizations Need to Know With a successful transition to ICD-10 behind them, healthcare organizations must now focus on leveraging the system to strengthen their overall competitive advantage. Executive Summary Healthcare organizations’ largely successful transition to ICD-10 is only the first step in exploiting the system’s capabilities to drive competitive advantage. They now need a clear strategy and tactical game plan to deepen insights, improve quality and achieve better outcomes. This involves minimizing revenue leaks, improving outcome and quality measures, and exploring the opportunities made possible by ICD-10’s additional diagnostic specificity and new clinical definitions. ICD-10: The Journey Has Just Begun When the final rule for ICD-10 was published in 2009, healthcare organizations were concerned about the massive investment required to transition to the new coding system. Nonethe- less, the industry was convinced of its value. Many payers and providers indicated they would make use of the granularity in the ICD-10 code set to remediate their organization’s business processes and IT systems to strengthen their competitive advantage. Yet conflicting priorities, including the Affordable Care Act (ACA) mandate, the rollout of health insurance exchanges and meaningful use requirements, jostled for position during the industry’s ICD-10 transition. In fact, the ICD-10 implementation deadline was extended twice. Between 2013 and the rule’s final implementa- tion in 2015, many healthcare entities narrowed their focus – limiting their activities to simply achieving compliance with ICD-10 requirements, rather than capitalizing on the coding specific- ity offered by ICD-10 (see Figure 1). cognizant 20-20 insights | may 2016 • Cognizant 20-20 Insights
  • 2. cognizant 20-20 insights 2 ICD-10 Investments In 2010, America’s Health Insurance Plans (AHIP) surveyed health plans to estimate the cost of ICD-10 implementation.1 By 2013, when compliance became the primary goal, healthcare organizations had made significant investments in ICD-10 remediation, systems and training, which they had initially anticipated based on AHIP’s survey (see Figure 2). Although these numbers can vary significant- ly among health plans – based on the number of lines of business, remediation approaches, business processes and IT portfolios – in general, both payers and providers invested heavily in becoming ICD-10 compliant. The investments initially paid off. On October 1, 2015, years of anxiety and excitement surround- ing ICD-10 translated into a largely eventless, smooth transition. ICD-10 claim volume reached 90% to 95% by year-end 2015, and denial rates were well within norms (1.6 to 2%). Today, many plans and providers are dismantling their pro- gram-management offices (PMO), task forces and control centers – signaling that their ICD-10 transition is complete. Yet in reality, the transition to ICD-10 is just the beginning. In order to fully exploit the power of ICD-10 and drive competitive advantage well beyond 2016, healthcare organizations will need to apply their ICD-10 investments to gain actionable insights – enabling them to succeed in critical areas like population health management; improved HEDIS (Healthcare Effectiveness Data and Information Set); CMS (Centers for Medicare and Medicaid Services) Star Ratings; and value- based reimbursements, to name a few. From Transition to Strategic Advantage Today, healthcare organizations aim to ensure business continuity during the ICD-10 post-tran- sition period (the data fog stage) that will extend into 2017. Simultaneously, they should create Shifting Priorities Figure 1 2009-2010 Implement ICD-10 to achieve strategic/competitive advantage 2013-2015 Just get compliant Plan Size Member Base Per-Member Average Cost ($) Small < 1 Million $ 38 Medium 1-5 Million $ 13 Large > 5 Million $ 11 ICD-10 Implementation Costs Source: AHIP Survey of 20 sample health plans in September 2010 Figure 2 The transition to ICD-10 is just the beginning. In order to fully exploit the power of ICD-10 and drive competitive advantage well beyond 2016, healthcare organizations will need to apply their ICD-10 investments to gain actionable insights.
  • 3. cognizant 20-20 insights 3 a strategy for capitalizing on ICD-10 in four key areas: identifying and eliminating financial divergence; reducing revenue leaks in Medicare Advantage; improving HEDIS and CMS Star quality ratings, and enhancing care-manage- ment functions. Identifying & Eliminating Financial Divergence Historically, most health plans and providers performed financial neutrality analysis (FNA). Unlike FNA, financial divergence analysis focuses mainly on coding inaccuracies that lead to diagnostic-related group (DRG) changes and financial divergence. Financial divergence analysis also uses ICD-10 claims, and enables backward mapping to ICD-9 for payment comparisons. This is expected to reveal any discrepancies that were missed in FNA, which is primarily based on forward mapping. We highly recommend that health care organiza- tions conduct a financial divergence analysis on a quarterly basis to detect susceptible DRG shifts and payment variances caused by coding errors. This is key to minimizing financial risk, especially given the learning curve required for coders to become ICD-10 proficient and the low percentage of coding accuracy seen during the national pilot program. The analysis should be comprehen- sive – encompassing financial divergence as well as upcoding, downcoding, provider communica- tions and medical record reviews (see Figure 3). During the data fog period (2015-2017), we advise health plans to conduct periodic ICD-10-focused provider audits to address gaps in documenta- tion and coding. Findings from these audits can provide valuable inputs/insights to enhance various edits/rules around prospective and retro- spective detection of overpayments, and prevent fraud, waste and abuse. Reducing Revenue Leaks in Medicare Advantage For the first time, Medicare Advantage plans must process both ICD-9 and ICD-10 claims to arrive at population risk scores. One-to-many mappings in ICD-10 and associated complexity in hierarchi- cal condition category (HCC) groups require sig- nificant analysis and validation of the risk score. Limited exposure to the new ICD-10 coding system may introduce gaps in diagnosis coding, leading to under-estimation of risk scores and revenue leaks. Plans need a statistical, model-driven analysis using historical and current claims to identify susceptible and missing HCC codes and eliminate revenue leaks. In addition, ACA mandates that insurance entities that offer plans through health insurance exchanges (HIXs) establish a risk- adjustment program. This involves transferring funds from health insurance plans that enroll lower-risk individuals to plans that enroll those at higher risk. Plans need an effective risk- adjustment and data validation (RADV) program – including claims auditing – to ensure that the We highly recommend that health care organizations conduct a financial divergence analysis on a quarterly basis to detect susceptible DRG shifts and payment variances caused by coding errors. Financial Divergence Analysis Figure 3 FINANCIAL DIVERGENCE • DRG shifts for susceptible claim categories • Reimbursement calculation, payment variances • Tool-driven analysis of claims • Recommendations and action plan PROVIDER • Inputs for periodic provider communication on coding, documentation gaps • Recommendation on contract negotiations/changes CODING ACCURACY • Claim categories for code review • Code review for selected claims by certified coders • Identification of coding inaccuracies and gaps • Recommendations and action plan MEDICAL RECORD REVIEW • An optional service for medical record review • Recommendations and action plan for provider communication Divergence-10 216-3712
  • 4. cognizant 20-20 insights 4 clinical conditions of the members (including com- plications/comorbidities) are captured through proper documentation and coding. Improving Quality Ratings ICD-10 has a direct impact on HEDIS, physician quality and reporting systems (PQRS) and CMS Star ratings. The CMS Star rating system in particular exerts a strong influence on individual consumers shopping for health insurance. While Medicare Advantage plans that earn at least four stars are eligible for additional incentives from CMS, those that earn low-star ratings are likely to be penalized. Although payers have remediated their HEDIS systems and data-capture processes to comply with ICD-10, the quality measures and Star ratings will only be as good as the quality of incoming ICD-10 claims. Unfortunately, inaccuracies were as high as 45% in specific claim categories in the ICD-10 National Pilot Program2 led by HIMSS/ WEDI during 2013. Physicians and coders must negotiate a significant learning curve before they can achieve higher coding accuracy. It is therefore critical that health plans use ICD-10 claims received in the fourth quarter of 2015 and throughout 2016 data to audit coding accuracy and ensure proper documentation. Enhancing Care Management Population Management & Value-Based Reimbursement ICD codes are used extensively in various health-management programs, including care and population management (identifying at-risk populations, disease management, utilization management and care coordination, for example). ICD-10 provides tremendous opportunities to improve these initiatives through its diagnostic specificity and new clinical definitions – par- ticularly regarding chronic conditions such as asthma, diabetes, obesity and heart disease. The level of detail captured during initial and subsequent episodes of care can eventually yield a clearer picture of the quality of care an individual patient received and the related outcomes. Similar data, once aggregated and depersonalized, can help organizations identify best practices for coordinating care protocols for a particular condition within a specific population. Additionally, the industry is moving away from the fee-for-service model to outcome-centered or value-based payments. Furthermore, Health and Human Services (HHS) has set a goal of tying 85% of all traditional Medicare payments to quality or value by 2016, and 90 percent by 2018.3 Performance, clinical and quality measures form the foundation for different payment models in the value-based reimbursement continuum. ICD-10 codes will provide a wealth of clinical infor- mation – enabling payers to design effective, val- ue-based care programs in the coming years. Coding Accuracy & Documentation Review It’s important for hospitals to periodically review claims/encounter data to identify coding gaps and issues in order to improve coding-staff accuracy and productivity. Coding accuracy is fundamen- tal to reducing denials, enhancing cash flow and driving incentives through quality-improvement measures. In the pilot program studies conducted by HIMSS and WEDI in 2013,4 coding inaccura- cies for certain clinical conditions reached as high as 45%. In our view, it could take a full year for physician practices and hospitals to achieve 90%-plus accuracy in ICD-10 coding. In light of this learning curve and potential coding errors over the coming months, healthcare organiza- tions must systematically work to improve this critical function. Our advice: • Establish an effective control mechanism over the next few years to achieve consistency among coders. • Ramp up auditing – focusing on both pre-bill and retrospective audits to detect coder defi- ciencies and identify gray areas that can be addressed through education. • Educate coders on an ongoing basis to improve productivity and accuracy. • Engage physicians to ensure the adoption of new clinical documentation processes, and the use of specific codes in every possible scenario to collect accurate codes. Cases for documentation reviews can be identified based on the number of queries to physicians and coder productivity. The ICD-10 Journey: Moving Forward The focus areas we identified here – arresting revenue leaks, financial divergence analysis and improving HEDIS/Star ratings, for example – ICD-10 codes will provide a wealth of clinical information – enabling payers to design effective, value-based care programs in the coming years.
  • 5. cognizant 20-20 insights 5 should be viewed as starting points for realizing quantifiable ROI from ICD-10 investments. Looking ahead, organizations can continue to optimize operations and explore the opportu- nities opened by ICD-10’s rich data sets, which continue to accumulate. There are key steps healthcare entities can take now to build and sustain momentum for making the most of ICD-10: • Develop short- and long-term game plans for reaping the benefits of ICD-10. • Identify an ongoing, ICD-10 strategic initia- tives team. (The team should comprise clinical, IT, data analytics, quality and administrative personnel, augmented by external consulting services as needed. • Target sources of funding for continuing ICD-10 activities. It can be difficult to garner capital funds; it is often easier to earmark operational funding in existing budgets for ongoing reviews and analyses. The smooth transition to ICD-10 marks a milestone, but not the end of the journey. Plans and providers need a game plan for realizing strategic benefits from their ICD-10 invest- ments. Healthcare organizations that commit to periodic audits and reviews of incoming ICD-10 claims data from revenue-manage- ment, quality and care-management perspec- tives throughout 2016 can realize significant advantages from their treasure troves of ICD-10 data. The potential savings and efficiency gains from these efforts – in 2016 and beyond – can create the financial flexibility to act on oppor- tunities powered by ICD-10 data, such as better population health management. Healthcare organizations that take the lead will be well positioned for sustainable success. Healthcare organizations that commit to periodic audits and reviews of incoming ICD-10 claims data from revenue-management, quality and care-management perspectives throughout 2016 can realize significant advantages from their treasure troves of ICD-10 data.
  • 6. About Cognizant Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger business- es. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative work- force that embodies the future of work. With over 100 development and delivery centers worldwide and approximately 221,700 employees as of December 31, 2015, Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Visit us online at www.cognizant.com or follow us on Twitter: Cognizant. About Cognizant Business Consulting With over 5,500 consultants worldwide, Cognizant Business Consulting offers high-value digital business and IT consulting services that improve business performance and operational productivity while lowering operational costs. Clients leverage our deep industry experience, strategy and transformation capabilities, and analytical insights to help improve productivity, drive business transformation and increase share- holder value across the enterprise. To learn more, please visit www.cognizant.com/consulting or e-mail us at inquiry@cognizant.com. World Headquarters 500 Frank W. Burr Blvd. Teaneck, NJ 07666 USA Phone: +1 201 801 0233 Fax: +1 201 801 0243 Toll Free: +1 888 937 3277 Email: inquiry@cognizant.com European Headquarters 1 Kingdom Street Paddington Central London W2 6BD Phone: +44 (0) 20 7297 7600 Fax: +44 (0) 20 7121 0102 Email: infouk@cognizant.com India Operations Headquarters #5/535, Old Mahabalipuram Road Okkiyam Pettai, Thoraipakkam Chennai, 600 096 India Phone: +91 (0) 44 4209 6000 Fax: +91 (0) 44 4209 6060 Email: inquiryindia@cognizant.com ­­© Copyright 2016, Cognizant. All rights reserved. No part of this document may be reproduced, stored in a retrieval system, transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the express written permission from Cognizant. The information contained herein is subject to change without notice. All other trademarks mentioned herein are the property of their respective owners. About the Author Palani Munisamy is a Director within Cognizant Business Consulting’s Healthcare Practice. He has more than 15 years of experience in solution consulting, business development and client relationship management. Palani also has significant experience in managing large transformational and regulatory initiatives, and is a certified Managed Healthcare Professional (MHP) from Health Insurance Association of America (HIAA). Palani has co-authored numerous white papers on healthcare IT and business issues. He can be reached at Palani.Munisamy@Cognizant.com. Codex 1843 Footnotes 1 “Health Plans’ Estimated Costs of Implementing ICD-10 Diagnosis Coding by America’s Health Insurance Plans,” AHIP, September, 2010. 2 “ICD-10 National Pilot Program: Outcomes,” HIMSS & WEDI, October 21, 2013. 3 http://www.hhs.gov/about/news/2015/01/26/better-smarter-healthier-in-historic-announcement-hhs-sets- clear-goals-and-timeline-for-shifting-medicare-reimbursements-from-volume-to-value.html. 4 ICD-10 National Pilot Program: Outcomes, HIMSS & WEDI, October 21, 2013.