Regression models, Monte Carlo simulations, and other methods for predicting what’s around the corner have been in use for decades. It’s only recently, though, that advances in information technology have made it possible for predictive tools to access and manipulate big data, and to do so continuously — accelerating the generation of insights, and opening up opportunities to anticipate issues with unprecedented precision. Think of the colleges that are increasingly able to identify students at risk of dropping out and intervene before they do. Or lenders’ enhanced abilities to gauge credit risk. Energy, agriculture, insurance, retail, human resources — no industry is unaffected. But nowhere is the potential of this new era of opportunity more apparent and exciting than it is in health care.