Penny Schlyer, is Industry Marketing Manager, Healthcare and Life Sciences at IBM, leading global messaging, content, and go-to-market activities for IBM's Big Data products. Penny enjoys biking and swimming with her three boys.
Industry Marketing Manager, Healthcare and Life Sciences
April 18, 2014
There is a wealth of data in healthcare, but right now the potential to extract valuable insights is mired by the endemic challenges with data integration, patient privacy and culture.
February 26, 2014
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.
February 17, 2014
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.
October 30, 2013
This new era of computing provides a significant catalyst for change and growth for healthcare and life sciences organizations. With the rise in consumerism, new tools and technologies that unlock insights into the individual, the push for outcomes-based care and complex regulatory requirements, healthcare and life sciences organizations need to embrace the power of technology to capture and understand the voice of the consumer in order to collaborate beyond boundaries and deliver smarter healthcare.
July 9, 2013
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.
April 17, 2013
Seattle Children’s Hospital is a demonstrated leader in innovative research and therapies for children, as shown below in just a few of their most recent announcements.
March 4, 2013
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 is valuable from what is not, gaining an accurate view of the individual – and doing it all within the context of a population – is a daunting challenge, but one with great potential.