Predictive Analytics Research
The era of predictive medicine will be here when doctors are not only able to predict a patient’s health problems but also help prevent them.
Currently, the full potential of patient data has gone largely untapped due to data storage limitations and costs. Furthermore, nurses and doctors caring for multiple patients struggle to keep up with the barrage of device alarms, let alone process the meaning of all that information.
Excel Medical, in collaboration with IBM’s® TJ Watson Laboratories, is addressing these challenges with the development of the Streaming Analytics™ platform, a first-of-a-kind technology for analyzing volumes of unstructured streaming physiological data. With leading academic medical centers and children’s hospitals now deploying Streaming Analytics research, Excel has also formed a community of leading data scientists, clinicians and researchers who are changing the way critical care and medical-surgical medicine is practiced today and in the future. Excel’s annual Streaming Analytics Users Group brings these experts together to progress the study and application of data analytics to help form the foundation of predictive care for critically ill patients.
Excel and its partners are focused on transforming big data in healthcare into actionable intelligence.
For Dr. Neil Martin, professor and chair of neurosurgery at UCLA, predicting brain injuries has not been an option until now due to the unmanageable, vast amount of data involved.
At Emory University, a team headed by Dr. Tim Buchman, professor of surgery and director of its School of Medicine Center for Critical Care, uses Streaming Analytics technology to pioneer Emory’s “ICU of the Future” project. The initiative is part of an emerging big data movement in healthcare, with participating organizations, researchers and clinicians working to make better use of the vast amounts of information in medical records, hospital monitors and other sources.