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All Journal International Journal of Health, Engineering and Technology
Ni Luh Dwie Ratna Dewati Saraswati
Sekolah Tinggi Ilmu Kesehatan Wira Medika Bali
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Design of a Computer-Assisted Coding System with Rule-Based Validation Based on ICD-10 at STIKES Wira Medika Bali Ni Luh Dwie Ratna Dewati Saraswati; Ika Setya Purwanti; Made Wahyu Aditya
International Journal of Health Engineering and Technology Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v5i3.1172

Abstract

The coding of diagnoses and procedures is a critical activity in health information management, yet it remains prone to errors that affect claim accuracy and the financial sustainability of healthcare facilities. Inaccurate coding can lead to upcoding or downcoding, both of which carry administrative and financial risks. This study aims to design a Computer-Assisted Coding (CAC) system with rule-based validation based on the International Classification of Diseases, 10th Revision (ICD-10), tailored to the learning environment at STIKES Wira Medika Bali. A qualitative descriptive approach using a system design research methodology was employed. Data were collected through literature review and observation of the diagnosis-coding learning process at the Medical Records Management Laboratory. The analysis identified functional requirements for accepting diagnosis input, facilitating ICD-10 code search, and providing automatic validation notifications based on predefined rule-based criteria. The system design produced a flowchart, Context Diagram, Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), and a user interface prototype comprising a login page, a main page with diagnosis input and code-search features, and validation result notifications. The resulting design provides a structured foundation for developing a fully functional CAC application that supports more systematic, accurate, and efficient diagnosis coding education.
Co-Authors Made Wahyu Aditya Arta