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.
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
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
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. Then, they start their big data and analytics
Bedside manner is something that some physicians have in spades and others totally lack. It’s not just a matter of personalities, etiquette and social pleasantries. Depending on the patient’s situation, it can make as much difference as medication, therapy and surgery in influencing whether
I recently spoke with a healthcare CIO to explore his perspective on the challenges of managing reference data. The points he raised reminded me of a similar conversation almost two years ago, although the two conversations had very different origins. I think the convergence of thinking stems from
I was curious if there were any updated stats on the number of healthcare organizations that are currently using analytics as part of their strategy to improve health outcomes, prevent disease and engage patients more effectively. I ran across a 2012 study from CHIME and eHealth Initiative that
Managing reference data in a healthcare system or a payer organization is not easy. While trying to wrap my head around this vexing requirement, I pondered how many coding systems I’ve learned in my health information management career.
Despite still being 39 (I celebrate the anniversary of my
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.
Do folks actually mine their clinical trial archive for insights?
Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity. At The Big Data Institute (TBDI), big
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success:
1. Keeping the scope limited
2. Helping to measure the success of a solution that
The transition to a healthcare pay-for-performance model is driven by both regulatory and consumer factors. Let's dig into the key drivers and information needs that will be critical to harness and leverage to manage the challenges posed by this new model.
The key regulatory drivers include changes