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The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.

Authors :
Salsabili M
Kiogou S
Adam TJ
Source :
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2020 May 30; Vol. 2020, pp. 542-551. Date of Electronic Publication: 2020 May 30 (Print Publication: 2020).
Publication Year :
2020

Abstract

The Clinical Classifications Software (CCS), by grouping International Classification of Diseases (ICD), provides the capacity to better account for clinical conditions for payers, policy makers, and researchers to analyze outcomes, costs, and utilization. There is a critical need for additional research on application of CCS categories to validate the clinical condition representation and to prevent gaps in research. This study compared the event frequency and ICD codes of CCS categories with significant changes from the first three quarters of 2015 to 2016 using National Inpatient Sample data. A total of 63 of the 285 diagnostics CCS were identified with greater than 20% change, of which 32 had increased and 31 decreased over time. Due to the complexity associated with the transition from ICD-9 to ICD-10, more studies are needed to identify the reason for the changes to improve CCS use for ICD-10 and its comparability with ICD-9 based data.<br /> (©2020 AMIA - All rights reserved.)

Details

Language :
English
ISSN :
2153-4063
Volume :
2020
Database :
MEDLINE
Journal :
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
Publication Type :
Academic Journal
Accession number :
32477676