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The transition to ICD-10-CM: challenges for pediatric practice.
Caskey, Rachel; Zaman, Jeffrey; Nam, Hannah; Chae, Sae-Rom; Williams, Lauren; Mathew, Gina; Burton, Michael; Li, Jiarong John; Lussier, Yves A; Boyd, Andrew D.
Affiliation
  • Caskey R; Departments of Pediatrics,Internal Medicine, and boyda@uic.edu rcaskey@uic.edu.
  • Zaman J; Biomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, Illinois;
  • Nam H; Departments of Pediatrics.
  • Chae SR; Departments of Pediatrics.
  • Williams L; Department of Pediatrics, Medstar Southern Maryland Hospital Center, Clinton, Maryland;
  • Mathew G; Alexian Brothers Health System, Chicago, Illinois; and.
  • Burton M; Internal Medicine, and.
  • Li JJ; Department of Medicine, University of Arizona, Tucson, Arizona.
  • Lussier YA; Department of Medicine, University of Arizona, Tucson, Arizona.
  • Boyd AD; Internal Medicine, andBiomedical and Health Information Sciences, University of Illinois at Chicago, Chicago, Illinois; boyda@uic.edu rcaskey@uic.edu.
Pediatrics ; 134(1): 31-6, 2014 Jul.
Article in En | MEDLINE | ID: mdl-24918217
ABSTRACT
BACKGROUND AND

OBJECTIVES:

Diagnostic codes are used widely within health care for billing, quality assessment, and to measure clinical outcomes. The US health care system will transition to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), in October 2015. Little is known about how this transition will affect pediatric practices. The objective of this study was to examine how the transition to ICD-10-CM may result in ambiguity of clinical information and financial disruption for pediatricians.

METHODS:

Using a statewide data set from Illinois Medicaid specified for pediatricians, 2708 International Classification of Diseases, Ninth Revision, Clinical Modification, diagnosis codes were identified. Diagnosis codes were categorized into 1 of 5 categories identity, class-to-subclass, subclass-to-class, convoluted, and no translation. The convoluted and high-cost diagnostic codes (n = 636) were analyzed for accuracy and categorized into "information loss," "overlapping categories," "inconsistent," and "consistent." Finally, reimbursement by Medicaid was calculated for each category.

RESULTS:

Twenty-six percent of pediatric diagnosis codes are convoluted, which represents 21% of Illinois Medicaid pediatric patient encounters and 16% of reimbursement. The diagnosis codes represented by information loss (3.6%), overlapping categories (3.2%), and inconsistent (1.2%) represent 8% of Medicaid pediatric reimbursement.

CONCLUSIONS:

The potential for financial disruption and administrative errors from 8% of reimbursement diagnosis codes necessitates special attention to these codes in preparing for the transition to ICD-10-CM for pediatric practices.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pediatrics / Reimbursement Mechanisms / International Classification of Diseases / Medicaid Country/Region as subject: America do norte Language: En Journal: Pediatrics Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pediatrics / Reimbursement Mechanisms / International Classification of Diseases / Medicaid Country/Region as subject: America do norte Language: En Journal: Pediatrics Year: 2014 Document type: Article