The growth in the use of electronic medical records, electronic insurance claims processing and other hospital software systems has led to a rise in the collection and storage of personal health information. Beyond the provision of patient care, this information can be invaluable in driving innovative research and providing new insights to address challenging healthcare problems. De-identification allows for the sharing of personal health information by protecting individual privacy. By de-identifying a dataset, the chance that a person can be identified from their data is drastically reduced.