Cloud Computing Model for Analyzing Antibiotic Usage from the National Health Insurance Research Database

In the past two decades, due to Taiwans national insurance policy, a substantial amount of medical and patient records have been stored in a large database. From this database, much important medical knowledge has been discovered; however, with the rapid growth of database size, it takes an increasingly long time to process queries on the database, even rather simple queries. We, therefore, propose a cloud computing model to process large volumes of medical data by using a Hadoop ecosystem. From our experimental results, we conclude that our proposed model can achieve significant speedup over traditional database systems, such as MySQL.