Data normalization for semantic translation
Updated: Apr 22, 2022
"Why normalizing your clinical and claims data into standard terminologies is critical to supporting forward-thinking initiatives such as big data analytics, population health management and semantic interoperability
A classic good news/bad news situation
First the good news: the steady growth of healthcare information technology (HIT) in recent years has ushered in a new era of automation. The future of healthcare will be built on data—actionable patient information to support population health management and analytics to improve outcomes."
CentiBlick the only patented solution poised to solve the problem posed in this article. Although data is being made available it is often displayed on different scales, units or reference ranges and does not allow you to trend, compare or take action.