Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags. 2.4 million videos also were created on YouTube, spreading
Big data analytics aren’t just for big organizations or big cities. In fact big data analytics can be especially useful when the data in question is diffuse—spread out over a number of small facilities and then aggregated to identify trends and patterns that might otherwise be overlooked.
Wearable cognitive prosthetics sounds like science fiction, but it’s easily within the reach of today’s technology. From a healthcare analytics standpoint, image-analytics wearables could help many people who suffer from diverse memory, perception and learning impairments.
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
The invisible spread of infections in healthcare facilities has continued to run rampant. Healthcare associated infections (HAIs) remain a serious threat everywhere in the world. Nevertheless, pathogen-caused infections, though they spread invisibly in healthcare environments, can be illuminated
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...
David Corrigan, director of IBM Infosphere product marketing, tells of using information in healthcare to intervene up to 24 hours earlier for serious illnesses. "Streaming analytics and stream computing offers a tremendous cost advantage when you are actually landing a huge volume of information
Is your healthcare organization engaging with customers the way you would expect to be engaged? Read how big data and analytics is helping healthcare organizations understand the consumer and fuel smarter engagement strategies through multiple social, mobile and traditional channels.
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the
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.
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
Emory University Hospital collects and analyzes intensive care unit patient data in near-real time, speeding the delivery of potentially lifesaving insight by 95 percent or more, when it engages IBM and IBM Business Partner Excel Medical Electronics to deploy an IBM streaming analytics system,
Research shows that "80% of the data about a patient is unstructured." Nigel Hook, CEO and Founder, DataSkill, tells the story of how IBM BlueMix enables DataSkill to bring cognitive computing to healthcare clients, so they can gain a better understanding of patients through unstructured data.
Scientific research has become a data powerhouse, propelled forward by sequencing and imaging technologies that accumulate data at astonishing speeds. However, managing petabytes of fast data is not a challenge exclusive to the scientific community. With the deluge of social, mobile and business