A clinical decision support system for drug conflict identification

Abstract

Adverse drug reactions (ADRs) are common major issue in the health-care system that occur mainly due to the interactions among different medicines prescribed for different diseases. Other than the interactions among different medicines, life habits such as food consumption, alcohol consumption and smoking also affect the occurrence of ADRs. The main goal of this research is the identification of ADRs occur due to the interactions of medicines. The proposed solution identifies conflicts among different medicines and diseases based on rules defined using formal methods and provides alternative treatment paths. This study is supported by a mobile application that can be used by both medical practitioners and public users. The outcome of this research can be used by medical officers as a clinical decision support system to assist the prescription process.