Literature DB >> 26212622

Magnitude of Impact, Overall and on Subspecialties, of Transitioning in Radiology from ICD-9 to ICD-10 Codes.

Margaret Fleming1, Dan MacFarlane2, William E Torres2, Richard Duszak2.   

Abstract

PURPOSE: Converting the nation's International Classification of Diseases (ICD) diagnosis coding system, from 14,025 ICD-9 to 69,823 ICD-10 codes, is projected to have enormous financial and operational implications. We aimed to assess the magnitude of impact that this code conversion will have on radiology claims.
METHODS: The most frequently billed ICD-9 diagnosis codes for 588,523 radiology claims from five hospitals and affiliated outpatient sites during a 12-month period were mapped to matching ICD-10 codes using a Medicare-endorsed tool. The code-conversion impact factor was calculated for the entire radiology system, and each individual subspecialty division.
RESULTS: Of all ICD-9 codes, only 3,407 (24.3%) were used to report any primary diagnosis. Of all claims, 50% were billed using just 37 (0.3%) primary codes; 75% with 131 (0.5%), and 90% with 348 (2.5%). Those 348 ICD-9 codes mapped onto 2,048 ICD-10 codes (5.9-fold impact), representing just 2.9% of all ICD-10 codes. By subspecialty, the conversion impact factor varied greatly, from 1.1 for breast (11 ICD-9 to 12 ICD-10 codes) to 28.8 for musculoskeletal imaging (146 to 4,199). The community division, reflecting a general practice mix, saw a conversion impact factor of 5.8 (254 to 1,471).
CONCLUSIONS: Fewer than 3% of all ICD-9 and ICD-10 codes are used to report an overwhelming majority of all radiology claims. Although the number of commonly used codes will expand 5.9-fold overall, musculoskeletal imaging will experience a projected 28.8-fold explosion. Radiology practices should target their ICD educational and operational conversion efforts in an evidence-based manner.
Copyright © 2015 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coding billing; ICD-10; ICD-9; documentation; reimbursement

Mesh:

Year:  2015        PMID: 26212622     DOI: 10.1016/j.jacr.2015.06.014

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  7 in total

1.  The Financial and Clinical Impact of an Electronic Health Record Integrated Pathway in Elective Colon Surgery.

Authors:  Jonathan S Austrian; Frank Volpicelli; Simon Jones; Mitchell A Bernstein; Jane Padikkala; Ashley Bagheri; Saul Blecker
Journal:  Appl Clin Inform       Date:  2020-02-05       Impact factor: 2.342

Review 2.  From imaging to reimbursement: what the pediatric radiologist needs to know about health care payers, documentation, coding and billing.

Authors:  Chul Y Chung; Mark D Alson; Richard Duszak; Andrew J Degnan
Journal:  Pediatr Radiol       Date:  2018-03-19

3.  Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System.

Authors:  Randall P Ellis; Heather E Hsu; Jeffrey J Siracuse; Allan J Walkey; Karen E Lasser; Brian C Jacobson; Corinne Andriola; Alex Hoagland; Ying Liu; Chenlu Song; Tzu-Chun Kuo; Arlene S Ash
Journal:  JAMA Health Forum       Date:  2022-03-25

4.  Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel.

Authors:  Franck Diaz-Garelli; Roy Strowd; Virginia L Lawson; Maria E Mayorga; Brian J Wells; Thomas W Lycan; Umit Topaloglu
Journal:  JCO Clin Cancer Inform       Date:  2020-06

5.  A tale of three subspecialties: Diagnosis recording patterns are internally consistent but Specialty-Dependent.

Authors:  Jose-Franck Diaz-Garelli; Roy Strowd; Tamjeed Ahmed; Brian J Wells; Rebecca Merrill; Javier Laurini; Boris Pasche; Umit Topaloglu
Journal:  JAMIA Open       Date:  2019-08-05

6.  The classic "Carrot-and-stick approach": Addressing underutilization of ICD-10 increased data granularity.

Authors:  Tobias A Mattei
Journal:  N Am Spine Soc J       Date:  2020-10-04

7.  Spine coding transition from ICD-9 to ICD-10: Not taking advantage of the specificity of a more granular system.

Authors:  Matthew J Sabatino; Patrick J Burroughs; Harold G Moore; Jonathan N Grauer
Journal:  N Am Spine Soc J       Date:  2020-10-31
  7 in total

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