There's no question that healthcare is an industry yearning for the advancements promised by Big Data analytics. Healthcare data is expected to grow between 1.2 to 2.4 exabytes per year — about 1,000 times the amount of data the human brain is capable of storing. This data is disparate and unstructured, making the extraction of useful information almost impossible. It is here that Big Data analytics promises to save the industry billions of dollars. This week Ricky Ribiero at Biz Tech Magazine joins the many voices investigating this trend. In his article, “Will Big Data Become the Big Savior of Health?” Ribiero illustrates how analytics can improve health outcomes and how tracking personal health, even down to the genome, can radically improve health. Ribiero cites a 2011 McKinsey & Co. report that states, “If US healthcare were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year.”
“While it’s true that analytics can reshape the way healthcare operates at an individual level,” Ribiero writes, “companies are hard at work trying to figure out how to leverage Big Data to improve health at the population level, too.”
Involution's hGraph, an open-source visualization for health data, and other Big Data analytics have already begun to be integrated into corporate clinics, where population sizes are more controlled. However, it’s hospitals, labs and doctors’ offices where analytics could do the most good. In health, speed counts. And tools with good visualization provide clinicians with quick, actionable data that can save lives.