Imagine being able to detect one of the leading causes of hospital deaths, and one of the most expensive conditions in health care to treat, months in advance to save lives and for health care providers, tremendous amounts of money. That’s exactly what Curren Katz and her team at Pittsburgh-based Highmark Health did alongside IBM’s Data Science Elite team — predict members who are at future risk of sepsis, a condition that happens when the body, as it fights infection, turns on itself and starts to damage its own tissues. For that achievement, Katz, 38, formerly of Hubbard, was recogniz...