Radical change at all levels of healthcare demands new solutions and better ways of managing the enormous volumes of data now impacting human health. The task is monumental and urgent. The cost to bring a new drug to market is enormous. At the same time, the potential for these drugs is becoming more narrow and specialized. Streamlining processes, prioritizing investments, and improving outcomes are critical not only to the industry but also to individual patients.

Big Data offers hope.

Data-driven Analytics and Insights can make it a reality. The data now exists to transform drug research, discovery, and development, as well as the practice of evidence-based healthcare. But tapping data from varied sources and making sense of it proves a tremendous challenge. The sources are disparate. The volume is enormous. The format can be unstructured, residing in clinical trials, medical papers, insurance claims, health records and even in the human genome. The evidence is there for a better, more efficient healthcare system. But curating that data and analyzing it is beyond human capabilities. New technologies and approaches are opening broad new opportunities to manage, analyze and put to productive use the huge volumes of medical and healthcare data and information.

The Enterra Enterprise Cognitive Systemâ„¢ (ECS) combines the efficiency and accuracy of computational computing with natural language processing to acquire and understand clinical research and evidence necessary to deliver more reliable ways of discovering drugs and practicing medicine.
Intuitive, intelligent, and integrated. The Enterra ECS provides an artificial intelligence platform that can find the nuanced relationships hidden inside huge volumes of data. This is information that can illuminate drug interactions, surface important evidence-based research and uncover unseen risks, cures and treatments to create a healthier world for us all.