Charlie Schick, PhD, is Director, Big Data Solutions, Healthcare and Life Sciences at IBM, driving solution development, sales consulting, and go-to-market activities.
Ph.D., Big Data Solutions, Healthcare and Life Sciences
September 19, 2013
I’ve noticed an interesting pattern with some of our healthcare customers. First, they tell us that they are either struggling or taking too long to answer the basic questions, be it for metrics, or regulatory reports, or basic running of the hospital.
June 25, 2013
I’ve been trying to delve into a topic I normally avoid—clinical trials. But it’s not about how clinical trials are run, or how to design one. I’m more interested in what happens to clinical trials data once they are completed.
March 27, 2013
The University of California, Los Angeles (UCLA), announced their work to develop a bedside early-warning system for brain pressure in traumatic brain injury patients. At the core of this system is InfoSphere Streams, which can ingest and analyze, in real-time, huge volumes of fast-moving data – the very kind of data that streams off of patient monitoring equipment.
October 10, 2012
Using big data analytics to save the lives of newborns. There are a range of diseases and syndromes in newborns that, if undetected and untreated, can be fatal or debilitating. For example, phenylketonuria (PKU), an amino-acid metabolic disorder, can lead to severe developmental issues.
August 16, 2012
Among healthcare executives interviewed for the 2010 IBM Global CEO study, 90% expect a high or very high level of complexity of data over the next five years, but more than 40% are unprepared to deal with it.