Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-
http://ibm.co/5stepsThis big question looms whenever and wherever practitioners all join together to discuss advances, changes and needs in the industry. While, in some ways, the answer is “yes"—because there is a need, a desire and a significant opportunity—in many ways healthcare organizations
As the quantified-self (QS) movement picks up steam, it will become more feasible to instrument more at-home infants with 24x7 physiological monitoring. It's increasingly feasible to cradle the baby's entire birth journey (prenatal, delivery, postnatal) in a comforting stream of vital signs, real-
I’m looking forward to the upcoming Healthcare Analytics Symposium in Chicago next week (July 14-16) led by Health Data Management. During this analytics focused conference, we will hear from innovators who are leveraging big data and analytics in a variety of ways to solve real problems that touch
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.”
The question is,
Building confidence in the big data and analytic initiatives requires good governance. Data from a variety of sources, and in different formats, heightens the need for strong, proactive governance. Health information management professions area ideal candidates for this critical need.
This infographic touches on five critical steps that will help customers streamline their application infrastructure, reduce infrastructure costs and transform enterprise data into a trusted, high-value resource by successfully consolidating and retiring their applications.
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Real-world experimentation of a very personal and hyper-analytical nature is what the quantified-self (QS) movement is all about. QS practitioners are playing with approaches that behavioral scientists have traditionally applied to third-party subjects within controlled laboratory experiments. The
Many make out the data scientist to be a Renaissance woman or man who can single-handedly elevate the organization’s analytics savvy. However, preparing students for corporate roles in data science means training them for many positions on a team. At Arizona State University, we work closely with
On June 11, 2014 Moberg will present its Smart ICU project during the concluding event of the SmartAmerica Challenge. SmartAmerica is a White House Presidential Innovation Fellow project with the goal of facilitating research in Cyber-Physical Systems (CPS) – also termed the “Internet of Things.”
With data breaches increasing in frequency, organizations need to secure and protect their sensitive data. Research shows that having a strong security posture reduces the risk and also the cost of data breaches; organizations should take a cue from this and act now.
Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical environment, many organizations are exploring cloud-based environments coupled with
Information governance offers benefits like efficient operations, rapid compliance and a 360 degree view to organizations across all industries. In healthcare, information governance also helps to improve health outcomes for patients.