Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Lutviana Devi
Duta Bangsa University
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Correlation Between Reselection Rule Main Diagnosis and Accuracy Code Linda Widyaningrum; Lutviana Devi
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.539 KB) | DOI: 10.47701/icohetech.v1i1.750

Abstract

The diagnosis code has a very important role in making policies for health care providers. This study is an analytical study with a cross sectional approach. The method used is observation, interview and check list. The study sample was 81 out of 431 inpatient medical record documents. and sampling technique with systematic random sampling from. Data analysis uses univariate and bivariate with Fisher's. The percentage of accuracy of reselection rules shows 64% accuracy (52 documents) and inaccurate is 36% (29 documents). The percentage of accuracy of reselection rules is 69 documents with a percentage of 85% and 12 documents incorrect with a percentage of 15%. The results of the Fisher's statistical calculation show no corelation to the primary diagnosis based on reselection rules with the accuracy of the diagnosis code based on ICD-10 (p = 0.529).
Co-Authors Linda Widyaningrum