The amount of data created is growing rapidly and it is expected that in 2020 we will create a minimum of 40 trillion gigabytes; 40 percent of all this data is expected to come from sensors or machine-to-machine data. All of this data will significantly impact global industries, from creating
In my last blog post I shared some of the background on the December ONC Patient Identification and Matching Stakeholder meeting, as well as barriers explored during the meeting. Lively debate erupted around some findings, with a few participants feeling that the whole discussion was going down the
In today’s increasingly connected world, machine data analysis is becoming a business imperative. While managing it may be challenging, opportunities abound across multiple industries for those who can tackle this complex data.
Using a powerful big data platform from IBM, Vanderbilt University School of Medicine clinicians cut research timelines from nearly a year to only a few weeks to help accelerate the pace of discovery and, ultimately, improve patient health.
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
The December 16, 2013 ONC Stakeholder meeting addressing patient identification and matching could best be summed up by a statement made early in the day’s discussions by Dr Scott Schumacher, chief scientist for MDM at IBM: “We don’t have an algorithm issue, we have a data quality issue.” As the
IBM has unveiled the new IBM Watson Group via a live broadcast event from New York City. IBM Watson Group will accelerate the development and adoption of a new class of software with cognitive intelligence.
Big data is driving massive changes in healthcare. Hear from Hear from Founder and Director of Emory Center for Clinical Care Dr. Tim Buckman and Executive VP and CFO of the largest health care delivery system in the George, Matt Muhart. Both deliver better safer care at lower costs with big data
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Recently I was the recipient of the American Health Information Management Association (AHIMA) 2013 Pioneer Award for my work over the years in advancing data standards, data quality and international health information management. To say I was honored to be in the company of previous award winners
For the first time, IBM will make its Watson technology available as a development platform in the cloud, for a worldwide community of software application providers to build a new generation of apps infused with Watson's cognitive computing intelligence.
Discover the customer behind the data
In this day and age it is getting easier and less expensive to collect all kinds of data. But what matters is not how much data you can amass but what you do with this data. How can you use the data of past, present and future to gain insight and drive
No one really knows if mobile wellness apps will improve health, at least not yet. The market stats certainly indicate the fascination with mobile health apps:
Juniper Research says that by 2016, 3M patients worldwide will be using remote monitoring devices that use a smart phone as a hub to
Eric Schmidt, Steve Ballmer and Chris Hughes were among the "Mastermind" speakers at Gartner Symposium. Here are the highlights from their jam-packed Q&A sessions:
Chris Hughes: "Facebook was very much a social project"
You're not a coder, you're not a technologist. What appealed to you about
Scientists from IBM are collaborating with John Hopkins University and University of California, San Francisco to combat illness and infectious diseases in real-time with smarter data tools for public health by applying the latest analytic models, computing technology and mathematical skills on an