SALT LAKE CITY, Feb. 28, 2013 /PRNewswire/ -- In a move that will help accelerate the transformation of U.S. health care around evidence-based medicine, Deloitte Consulting LLP and Intermountain Healthcare are announcing a landmark alliance around big data and analytics. (Logo: http://photos.prnewswire.com/prnh/20120803/MM52028LOGO-a) (Logo: http://photos.prnewswire.com/prnh/20120803/MM52028LOGO-b) Drawing on Deloitte's leading-class professional services and informatics capabilities and Intermountain's pioneering experiences in capturing and using data to provide high-quality care at lower costs, the organizations have signed a five-year deal to develop and provide health analytics insights to the medical community. Leaders at both companies say the alliance will help the health-care industry unlock the power of big data to reduce costs and improve patient outcomes. They note that health care has arrived to a point in which vast reservoirs of clinical data are collected, but the riddle is how to translate the information into meaningful insights. "Health care is on the verge of realizing significant gains from big data, but it takes new tools and new approaches around collaboration to get there," said Jason Girzadas, principal, Deloitte Consulting LLP. "This alliance will work to provide the health-care industry a destination center for the insights needed to change health care." Marc Probst, chief information officer at Intermountain, said this development "will help usher a new wave of innovation" throughout the nation's health system. The use of our technologies will allow clinicians and researchers to more quickly discover practices that improve quality and keep costs lower. "Research studies that previously might have taken years to complete could be conducted in just a few weeks instead," Probst said. Intermountain has been using computers since the 1970s to amass one of the world's largest and most detailed repositories of clinical and financial data coming from its 22 hospitals and 185 clinics. The information covers a 40-year span, and because of its longitudinal nature with more than two trillion unique medical data elements, it is particularly effective for medical studies and analyzing optimal treatments for a variety of health conditions.