PROTOTYPE DEVELOPMENT OF MENTAL DISEASE AND BEHAVIOR CODEFICATION APPLICATION FOR EFFECTIVENESS OF MEDICAL RECORDING STUDENT LEARNING

Abstract

The policy regarding the implementation of RME in health services requires developments in the world of education, especially medical records and health information study programs. Developments are carried out in the learning process using technology such as the use of prototypes in the implementation of coding practicums. Manual coding using ICD-10 CM is considered less effective and efficient. Inaccuracies in diagnostic codes often occur, leading to pending claims. The aim of this research is to determine the evaluation of the effectiveness and efficiency of the prototype application for coding mental illness and behavior for the effectiveness of medical records student learning. The research was conducted using the Research and Development method with a population of 15 medical records students. The research results showed that there was development of a coding application prototype using Unified Modeling Language (UML) visual modeling, namely use case diagrams, class diagrams and activity diagrams. The research results showed a significant difference in the average coding time for 10 diagnoses, where using ICD-10 CM took 12 minutes 30 seconds with 80% accuracy and using the coding application prototype took 3 minutes 20 seconds with a code accuracy percentage of 100%. The results of the research concluded that by coding mental illness and behavior using the coding application prototype, it was very effective and efficient in improving student learning of medical records and supporting the implementation of RME in health services.