Proposal for the Development of Adverse Drug Reaction Prediction Model

Information technology, which uses the computer for data processing and decision-making, has invaded all kinds of sciences. Health informatics is one of these important areas. The Objective of this study is to develop a mathematical model that calculates the percentage of ADR occurrence using the data available from primary literature for a specific medication. A mathematical model was developed to calculate the percentage of adverse drug reaction occurrence for a specific patient, using specific patient factors. The expected effect is that these different patient factors will produce different adverse drug reactions in different percentages. The adverse drug reaction prediction model is developed using Microsoft access, forms are built and ready for the data to be collected and utilized from primary literature. Pharmacists and other medical specialists should give information technology more concern in order to develop a comprehensive decision support systems able to predict medication errors before they actually happen.