Tag Archives

Archive of posts published in the category: Big Data

AI Changes Evidence Based Medicine 

The sheer (and ever-growing) amount of scientific evidence available makes it nearly impossible for healthcare providers to keep up with the latest trials and studies in their field. The National Institute of Health reports that only 20% of clinical care is based on…


Scalable Health at 5th Annual Global Big Data Conference 2017

Scalable Health is pleased to be presenting at the 5th Annual Global Big Data Conference in Santa Clara, California Aug 29-31, 2017. The 5th Annual Global Big Data Conference brings together leading industry executives, sharing unique insight into the innovations that are driving…


The Missing V in Big Data for Healthcare

By now, it’s almost impossible to not have come across the term “Big Data.” A simple Google search will show how this term has exploded over the last few years and has become inevitably pervasive in the public consciousness. Big Data is here…


Scalable Health at #DataHealth17

#DataHealth17 – Big Data & Analytics in Healthcare Summit – Improve Patient Outcomes with Data Analytics. May 15-16, Philadelphia For the 5th consecutive year, Big Data & Analytics in Healthcare returns to Philadelphia for two days of inspiring, insightful & educational presentations, panel…


Big Data Analytics Reduces Infections in Hospitals

According to the CDC, more than 2 million patients contract a hospital-related infection annually. The most common Healthcare Acquired Infections (HAIs) are pneumonia, sepsis, urinary tract infection and surgical site infection. HAIs are extremely dangerous to patients as their existing conditions may have…


Understanding Healthcare’s Big Data Problems

In today’s competitive healthcare environment, big data has the potential to improve patient outcomes, improve efficiency and reduce costs.  The challenge is many organizations are saddled with ancient legacy systems that create silos of data that are barriers to Digital Health data analysis…