The success you achieve with your analytics strategy depends on the foundation you lay at the outset. Learn how you can prepare yourself—and your patients—for success by adopting a data model that helps you make the most of your data.
The words "big data" and "consumer" are inextricably intertwined in the world of business-to-consumer organizations: e-commerce, retailing and consumer banking, to name just a few. As healthcare follows in the steps of these industries and becomes more "consumerized," providers need to consider how
A recent healthcare information research event explored the role of master data management in supporting research, care coordination and health information exchange. Take a look at the interaction that transpired and validates the importance of matching patient data to clinical records.
IBM Analytics solutions enable healthcare organizations to connect disparate information into a single trusted view and deliver insights into data. The industry-leading accuracy and performance of IBM InfoSphere Master Data Management is at the heart of a big data & analytics strategy. Armed
On day two of HIMSS14, I had the pleasure of listening to leaders from UPMC, MD Anderson and Amedisys share their stories about how their organizations are turning information into an asset. At the third annual IBM Big Data & Analytics luncheon, attendees from across the healthcare ecosystem
HIMSS14 attendees are in for a treat this year; in addition to the amazing educational sessions and exhibits, visitors will have the opportunity to an exciting story about real-time analytics for research and data quality. Dr Ray Duncan, CTO for Cedars-Sinai Medical Center in Los Angeles, and Dr
Is big data just a buzzword? I say no way! More than 80 percent of the world’s data was created in just the last two years: video, email and social media just to name a few. This data explosion is not lost on healthcare. Beyond the digitization of transactional and clinical data in medical records
With the HIMSS conference coming up next week, Sri Shrinivasan, global industry leader of big data for healthcare and life sciences, took 10 minutes to preview some of the key topics to watch for and activities to do at the conference. Sri mentioned some leading healthcare organizations that will
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
The level of engagement and conversations about big data and analytics at HIMSS13 was very exciting and encouraging. After all, transformation of the healthcare system will not only be dependent on data, but more importantly about our ability to securely capture, integrate, manage and analyze it in
By addressing chronic conditions at the population level, health organizations can achieve a greater impact. But it’s not easy. Successful programs have to employ measurement and analysis and include enormous volumes of data from an ever widening variety of sources. Making data useful, parsing what