The ICD-10 General Equivalence Mappings: Bridging the Translation Gap from ICD-9
by Rhonda Butler, CCS, CCS-P
In healthcare, diagnosis and procedure codes and their attached descriptions are the currency for many critical data transactions. Healthcare organizations rely heavily on coded data to govern reimbursement, monitor the health of the population, track trends in disease and treatment, and optimize the delivery of healthcare in the US.
The possible implementation of the ICD-10 code set is a historic opportunity to upgrade the quality of healthcare data, but like everything worth having, it comes at a cost. One cost is mapping between the old and new code sets.
A recurring theme in the ongoing ICD-10 implementation debate has been the need for a crosswalk between the old and new code sets to help the industry make the transition. The lack of an “official” mapping between ICD-9-CM and ICD-10-CM/-PCS has long been seen as a major challenge to ICD-10 implementation. The General Equivalence Mappings (GEMs) are an attempt to meet that challenge.
What Are GEMs?
The GEMs are the product of a coordinated effort spanning several years and involving the National Center for Health Statistics (NCHS), the Centers for Medicare and Medicaid Services (CMS), AHIMA, the American Hospital Association, and 3M Health Information Systems. The GEM files are a public domain reference mapping designed to give all sectors of the healthcare industry that use coded data a tool to convert and test systems, link data in long-term clinical studies, develop application-specific mappings, and analyze data collected during the transition period and beyond.
It would be impossible to produce a “one size fits all” set of mappings because a mapping is heavily dependent on its purpose. A map for reimbursement uses different rules and contains different entries than a map for research.
The GEMs are more than simple crosswalks. They cannot be used in a legacy system in unaltered form to get from a code in one set to a code in the other. A clear one-to-one correspondence between an I-9 or I-10 code is the exception rather than the rule.
It is useful to think of GEMs as two-way translation dictionaries for diagnosis and procedure codes from which crosswalks can be made for specific purposes. They elucidate the differences between the code sets and assist users in making informed decisions about how to link the codes in a way that meets their needs.
While ICD-9-CM diagnosis codes and ICD-9-CM procedure codes are maintained by two different government entities, the GEMs were developed separately but collaboratively to maintain consistency insofar as possible. The resulting files can be merged seamlessly as neededsubsets extracted, analyzed, and appliedwithout taking extra steps to make them compatible.
How GEMs Work
The diagnosis and procedure GEMs use the same method and format. They consist of two mappings for the diagnosis codes and two mappings for the procedure codes: one in which ICD-9 is the source system and one in which ICD-10 is the source system (see the table below). Technical documentation and a user’s guide accompany the files.
The code in the source system is followed by a possible equivalent in the target system, then followed by the attributes that further characterize the information in that row of the entry (e.g., whether the codes are an approximate match or not). The codes, their descriptions, and the attributes can be loaded into a database for developing applied mappings for training or to extract subsets of the files for testing.
The mapping entry for ICD-9-CM diagnosis code 599.7, Hematuria, is highlighted in the table “Excerpt from a GEM File” as it would appear with descriptions added and attributes labeled. The documentation and user’s guide define all attributes and demonstrate how they are used.
No Exact Match
It stands to reason that a diagnosis or procedure code in ICD-9 may not have a close correspondent in ICD-10. If the systems were not significantly different, there would be no incentive to change. What this means for the GEMs is that in many cases, the code in the source system is linked to more than one alternative in the target system.
Because the GEMs are general reference mappings, all reasonable equivalents are included, based on the particulars of the code in the source system. For example, in the case of the ICD-9-CM code 599.7, Hematuria, the system uses one code for all instances of hematuria documented in the medical record. Therefore, it is linked to all ICD-10-CM hematuria codes. There are four of them, three of which are more specific than the ICD-9-CM code.
In the case of hematuria coding, the difference between the two code sets lies in the level of specificity. However, there are whole areas reclassified in ICD-10-CM using different clinical emphases. In these cases, where the codes in the two code sets are not alike along an entire axis of classification, and where an all-inclusive mapping would contain an overwhelming and indiscriminate number of entries, rules were developed to link groups of codes in a consistent manner.
Obstetrics diagnosis codes are a clear example of this. In ICD-9-CM, the patient is classified by diagnosis in relation to the episode of care. In ICD-10-CM the patient is classified by diagnosis in relation to the patient’s stage of pregnancy. The GEM rules applied to linking these diagnosis codes are shown in the table below.
Accompanying the GEMs on the NCHS and CMS Web sites is a detailed user’s guide. It contains the information common to both sets of GEMs and uses the same terminology for introducing the GEMs and explaining how to use them, with examples specific to the diagnosis and procedure GEMs in their respective guide. It also contains a glossary of terms and an appendix containing file names and format layout.
To reap the full benefits of switching to a new code currency, the healthcare industry needs to invest two ways: in the cost and time required to migrate to software and systems that use the new codes; and in educating HIM professionals to be able to translate meaning effectively between the old and new codes. The GEMs aim to help the industry plan for the best possible return on investment.
Rhonda Butler (firstname.lastname@example.org) is a senior research analyst at 3M Health Information Systems.