Review Of The Accuracy Of Diagnosis Codes For Inpatients With Diabetes Mellitus Type II Cases Based On ICD-10 At Berkah Pandeglang Regional Public Hospital In The Period Of January-April 2025
Year: 2025
Type: article
Study design: Observational Study
Abstract: The accuracy of the diagnosis code based on ICD-10 refers to the suitability of the diagnosis code set by the coding officer with the diagnosis written in the patient's medical record, in accordance with the rules and guidelines in ICD-10. This study aims to determine the description of the accuracy of the diagnosis code for inpatients with type II Diabetes Mellitus cases based on ICD-10 at the Berkah Pandeglang Regional General Hospital for the period January - April 2025. This type of research uses quantitative descriptive. The Subject Sample in this study were 3 medical record officers and the Object Sample in this study were 56 Medical Records of inpatients with type II Diabetes Mellitus cases at the Berkah Pandeglang Regional General Hospital for the period January - April 2025. The results of this study illustrate that the accuracy of coding the diagnosis of Type II Diabetes Mellitus cases is (51.78%), the educational qualifications of the head of medical records and diagnostic coding officers at Berkah Pandeglang Regional Hospital have a DIII Medical Record and Health Information background, Standard Operating Procedures (SOP) for coding related to the diagnosis owned by Berkah Pandeglang Regional General Hospital that of the 7 procedures that must be carried out or implemented by coding officers, there are (85%) procedures that are implemented and (15%) that are not implemented. The supporting facilities and infrastructure for coding at Berkah Pandeglang Regional Hospital are good, but there is no Electronic ICD-10 as a supporter of diagnostic coding in searching for disease codes.
Authors: Ira Rahmawati, Ita La Tho, Ika Apriyanti
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4413620122