Literature DB >> 34035786

Comparison of ICD-9-CM to ICD-10-CM Crosswalks Derived by Physician and Clinical Coder vs. Automated Methods.

Jason C Simeone, Xinyue Liu, Tarun Bhagnani, Matthew W Reynolds, Jenna Collins, Edward A Bortnichak.   

Abstract

Purpose: To evaluate whether automated methods are sufficient for deriving ICD-10-CM algorithms by comparing ICD-9-CM to ICD-10-CM crosswalks from general equivalence mappings (GEMs) with physician/clinical coder-derived crosswalks. Patients and methods: Forward mapping was used to derive ICD-10-CM crosswalks for 10 conditions. As a sensitivity analysis, forward-backward mapping (FBM) was also conducted for three clinical conditions. The physician/coder independently developed crosswalks for the same conditions. Differences between the crosswalks were summarized using the Jaccard similarity coefficient (JSC).
Results: Physician/coder crosswalks were typically far more inclusive than GEMs crosswalks. Crosswalks for peripheral artery disease were most dissimilar (JSC: 0.06), while crosswalks for mild cognitive impairment (JSC: 1) and congestive heart failure (0.85) were most similar. FBM added ICD-10-CM codes for all three conditions but did not consistently increase similarity between crosswalks.
Conclusion: The GEMs and physician/coder algorithms rarely aligned fully; human review is still required for ICD-9-CM to ICD-10-CM crosswalk development.
Copyright © 2021 by the American Health Information Management Association.

Entities:  

Keywords:  Coding algorithms; ICD-10 transition; diagnosis codes; general equivalence mappings; healthcare research

Year:  2021        PMID: 34035786      PMCID: PMC8120674     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  3 in total

1.  Administrative simplification: change to the compliance date for the International Classification of Diseases, 10th Revision (ICD-10-CM and ICD-10-PCS) medical data code sets. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2014-08-04

2.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

3.  Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions.

Authors:  Kin Wah Fung; Rachel Richesson; Michelle Smerek; Katherine C Pereira; Beverly B Green; Ashwin Patkar; Megan Clowse; Alan Bauck; Olivier Bodenreider
Journal:  EGEMS (Wash DC)       Date:  2016-04-12
  3 in total

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