By using predictive analytics, providers can use real-time data to see risk factors that previously went undetected. Armed with this information, healthcare systems can then intervene and hopefully change the course of the patient's future health.
IBM made waves at the 2016 Consumer Electronics Show with a variety of innovations in cognitive computing. From IBM CEO Ginni Rometty’s keynote address to conversations with dinosaurs, CES 2016 offered innovation at every turn.
Now that the Ebola virus is sitting in our backyard, the entire country is on high alert—and rightfully so, as it's no longer a disease that's plaguing people continents away, in little known countries. WHO indicates that there are 9216 Ebola cases with 4555 deaths. My first thought when I look at
Sharath Cholleti, computer scientist at Emory University, declares that IBM and big data can play a big role to move the healthcare industry forward. Cholleti says the key is “the ability to execute lots of algorithms that can provide value to the patients and help clinicians take care of...
We have a lot of data today, both structured and unstructured, that, when used on time, at the right time, in real-time can save lives. Sharath Cholleti, this week's Big Data and Analytics Hero, gives us a glimpse of how they use data for better patient care.
Big Data & Analytics Heroes is a recognition program created by IBM to acknowledge and highlight big data and analytics industry thought leaders. This week, our Hero is Pamela Peele, chief analytics officer of UPMC Insurance Services Division.