Implementation of medical error prevention system for hypertension disease based on fuzzy

Abstract

Medication error in the treatment process can be dangerous for patients that can cause adverse medicine reactions. This can occur because of allergies, medicine-medicine interactions, medicine interactions with diseases and medicine incompatibility which include duration of therapy, dose, route of administration, and amount of medicine. That is way it takes knowledge and thoroughness doctors in selecting medicines for patients. In this research, medication error prevention system in hypertension disease is made to provide recommendations to the doctor's medication. The system is integrated with Hospital Information System (HIS) which is an e-prescribing application using Fuzzy Query. The criteria used are dosage levels of medicine (low, medium, high), medicine prices (cheap, normal, expensive), availability of medicines in pharmacies (little, medium, lots) and medicines favorite (not favorite, favorite, very favorite). The test results of e-prescribing system that consist of 100 medicines for patients with stage 1 and age more than 60 show that the system has been created able to provide medicine recommendations by considering disease, patient's medical history and allergies. Form of query with some variations of criteria show that average of medicine recommendation by using AND operator is less than OR operator.