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INTEGRATING ICD-10 IN YOUR PRACTICE<br />

payment system based on quality and outcomes. Continued<br />

use of an outdated and broken coding system erodes data<br />

quality and, thus, has an adverse effect on the value of<br />

health care data, including an increased risk for inaccurate<br />

health care decisions based on faulty and imprecise data.<br />

The ability to accurately analyze health care services provided<br />

to patients and whether care is fairly reimbursed is<br />

compromised.<br />

Continued use of ICD-9-CM results in costs associated<br />

with:<br />

• Inaccurate decisions or conclusions based on faulty or<br />

imprecise data<br />

• Administrative ineffıciencies because of reliance on<br />

manual processes<br />

• Coding errors related to code ambiguity and outdated<br />

terminology<br />

• Worsening imprecision in the ICD-9-CM code set because<br />

of the inability of the code structure to adequately<br />

accommodate desired modifıcations 4<br />

OPPORTUNITIES FOR LEVERAGING ICD-10 TO<br />

IMPROVE CARE AND REDUCE COSTS<br />

The transition to ICD-10-CM and ICD-10-PCS (collectively<br />

referred to as “ICD-10”) presents an opportunity to greatly<br />

improve the capture of information about the increasingly<br />

complex delivery of health care, leading to improvements in<br />

health care delivery and operations, better patient outcomes,<br />

and reduced health care costs. ICD-10 is the next-generation<br />

coding system that will modernize and expand the capacity of<br />

health care organizations to keep pace with changes in medical<br />

practice and health care delivery by providing higherquality<br />

information for measuring service quality, outcomes,<br />

safety, and effıciency. The granular level of detail in ICD-10<br />

codes is expected to generate more precise and clinically accurate<br />

characterizations of patient diagnoses, which in turn<br />

will lead to a more accurate reflection of patient conditions.<br />

The improved structural flexibility will allow for the addition<br />

of new diseases or expanded detail in the future.<br />

Measures of health care are only meaningful if the data<br />

used to defıne conditions and services accurately represent<br />

the reality of care. 5 Increased precision in ICD-10 will lead to<br />

better quality measures. Better and more effective quality<br />

measures will translate to better care that will ultimately benefıt<br />

consumers. The additional detail in ICD-10 will affect analytic<br />

tools, reports, and comparative data used by all quality<br />

measurement systems, including quality indicators from The<br />

Joint Commission, CMS, and the Agency for Healthcare Research<br />

and Quality, as well as clinical registries and state reporting<br />

systems.<br />

By allowing for greater coding accuracy and specifıcity,<br />

ICD-10 is key to collecting the information needed to implement<br />

health care delivery innovations such as patientcentered<br />

medical homes and value-based purchasing. The<br />

investments that are being made in accountable care organizations<br />

(ACOs), meaningful use EHRs, and value-based purchasing<br />

are all predicated on having a more precise and<br />

comprehensive code set that is up to date with the rapid changes<br />

in practices and technologies utilized in today’s health care system.<br />

ICD-10 will enable better patient care through better understanding<br />

of the value of new procedures, improved disease<br />

management, and an improved ability to study and understand<br />

patient outcomes, yielding benefıts to patients far beyond cost<br />

savings. Better understanding of diseases and injuries will lead<br />

to improved prevention or mitigation strategies. Clinically robust<br />

algorithms to treat chronic diseases and track outcomes of<br />

care can be designed.<br />

New models of health care payment and patient management,<br />

such as ACOs, bundled payments for episodes of care,<br />

pay for outcomes, risk sharing for total costs of care, and<br />

patient-centered medical homes will create increased demand<br />

for detailed, high-quality data. Accurate, detailed<br />

health care data will be needed to construct risk analyses and<br />

predictive models that allow rational risk sharing. Patient<br />

populations need to be defıned, care paths assessed, and care<br />

outcomes understood much more clearly and deeply than<br />

they are today if payers, employers, and providers are to negotiate<br />

as equals. Additionally, information that drives regional<br />

or national health care policies relies on intelligence<br />

derived from coded data. Decisions are only as good as the<br />

information those decisions are based on. Better data will<br />

translate to better decisions. 5<br />

EHRs and interoperability require a modern code set for<br />

summarizing and reporting data. Without ICD-10, the U.S.<br />

investments in EHRs is greatly diminished, as the value of<br />

more comprehensive and detailed health information is lost<br />

if it is aggregated into outdated, broad, ambiguous codes. The<br />

health care industry has struggled to defıne health information<br />

standards that will allow true interoperability and the<br />

ability to analyze “big data” across enterprises. 5 ICD-10 is<br />

needed to exchange meaningful data. Also, many public and<br />

national health information systems, reporting programs,<br />

and data sets rely on accurate and timely diagnosis codes to<br />

classify and track disease morbidity and mortality, quality of<br />

care, and health disparities, and monitor public health<br />

threats. Use of ICD-10 will standardize the reporting of public<br />

health data (including disease outbreaks and bioterrorism<br />

events) across the globe, achieve international health data<br />

comparability, and enable international comparisons of<br />

quality of care and sharing of best practices among countries.<br />

Since ICD-10 has been used for mortality reporting in the<br />

United States since 1999, the implementation of ICD-10 for<br />

morbidity reporting would achieve comparability between<br />

mortality and morbidity data, resulting in enhanced data for<br />

improving community health and administrative cost savings.<br />

In many states, mortality data are cross-analyzed with<br />

hospital data to develop intervention strategies. Resources<br />

are being wasted to convert mortality data back to ICD-<br />

9-CM to correlate with hospital data.<br />

Anticipated benefıts of using more robust, up-to-date code<br />

sets can be identifıed in the following areas 6 :<br />

asco.org/edbook | 2015 ASCO EDUCATIONAL BOOK<br />

e95

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