Web Service Solution for Adverse Drug Events and Medication Errors

Investigating the incidence, type, and preventability of adverse drug events (ADE) and medication errors is crucial to improving the quality of health care service. ADEs, medications errors can be extracted from practice data, patients feedback and especially from medication order. In this study, we examine the dataset filled with medication orders and with a web service based approach, each medication order is analyzed to avoid from drug-drug interaction. Firstly, the study is performed on a training set to explore the drug-drug interactions based on the clinical drug component of each medication. Then the proposed web service approach is integrated into the actual centralized Medication Order Management System (MOMS) of the hospital. With this real time checking ADE mechanism, doctors are warned in case there is a possible ADE or a medication error between the medications.