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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2011311


Registration ID:
303736

Page Number

66-75

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Title

Accuracy Analysis of Sub Categories of Diagnosis Code Based on ICD-10 and Laboratory Test Results in Bacterial Infection Cases

Authors

Abstract

Background: The accuracy of the coding is important for medical recorders to pay attention to because it relates to billing, quality of medical record files. A review of the accuracy of the sub-categories in cases of bacterial infection is necessary because there are often inaccuracies in coding the third and fourth sub-categories. Aims: The aim of this study was to review the accuracy of the sub-category of diagnosis codes based on ICD-10 and laboratory test results in cases of bacterial infection. Settings and designs: The research was conducted in September at the hospital, Padang, West Sumatera in 2020. Methods and material: Descriptive research method with a quantitative approach. The coding data is taken in the patient's medical record file, then the diagnosis code is confirmed with laboratory results notes in the medical record attachment. The data used were all medical record files for the period of January 2019. Results: Based on data analysis, the percentage of accurate diagnosis codes based on the ICD-10 was 76.05%, 23.94% inaccurate codes. The third sub-category was 84.50% accurate, 4.22% inaccurate. The fourth sub-category is 95.77% accurate, 15.49% inaccurate. The percentage of inconsistencies between diagnosis and laboratory test results was 4.22%. Diagnosis codes and laboratory test results are inconsistent because the medical record files are not completely available. Conclusions: The accuracy of writing sub-categories in the diagnosis code, the suitability of the diagnosis with laboratory test results in cases of infection are important as data sources and references in analyzing the accuracy of the diagnosis coding and are important factors for producing quality data.

Key Words

Coding, ICD-10, Infection, Bacteria.

Cite This Article

"Accuracy Analysis of Sub Categories of Diagnosis Code Based on ICD-10 and Laboratory Test Results in Bacterial Infection Cases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.66-75, November-2020, Available :http://www.jetir.org/papers/JETIR2011311.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Accuracy Analysis of Sub Categories of Diagnosis Code Based on ICD-10 and Laboratory Test Results in Bacterial Infection Cases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp66-75, November-2020, Available at : http://www.jetir.org/papers/JETIR2011311.pdf

Publication Details

Published Paper ID: JETIR2011311
Registration ID: 303736
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 66-75
Country: Padang, West Sumatera, Indonesia .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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