Kaiser Permanente’s use of data analytics is helping the health plan lower hospital mortality rates and discover ways to diagnose illnesses earlier. John Mattison, M.D., chief medical information officer at Kaiser, spoke on Dec. 5 at VentureBeat’s Data Science Summit in Silicon Valley. Dr. Mattison predicts that by the year 2020, ten times more medical research will be generated by analyzing vast quantities of medical data than by conventional models of clinical research.
Over the past several years, Kaiser Permanente’s hospitals in southern California have enjoyed a lower mortality rate than the national average, according to data from the Centers for Medicare and Medicaid Services. “Today you have a 26 percent lower chance of dying in one of our hospitals than you do in other hospitals,” said Dr. Mattison, adding that Kaiser is starting to lower its mortality rate much faster than the national average. “A lot of this is directly rated to how we use data and integrate data,” he said.