Revitalize your legacy Health Data through effective Extract, Transform & Load (ETL) processes:

We live in the age of data. More than ever before data drives our knowledge, decisions, and actions. While the importance of data has always been a critical element in delivering care and treating populations, we now have the ability to collect, store, present, and analyze data like never before. This, coupled with the need to continually reference historical data, is driving the policies around data retention. There are many good reasons to manage large data sets for as far back as it has been collected including performance analysis, risk management, population health, and research. However, as health systems continue to merge and acquire, and as ageing clinical systems are decommissioned and replaced there is a growing challenge in managing historical data in a way that is both meaningful and accessible.