Clinicians, like every other human, are not good prognosticators. With the ever- increasing complexity of healthcare, the inherent limitations of the human brain, and a myriad of cognitive biases exacerbated by interruptions, fatigue and multitasking, it’s no wonder that we often fail in our clinical predictions (1). The advances in medical technology and the advent of Big Data have increased the complexity of clinical care, but have also opened the door to data science at a scale not possible a few years ago (2). Predictive analytics is perhaps the most promising area of data science in healthcare, and coupled with our need for better predictions it’s ripe to potentially make a big impact in the way we take care of our patients. Being able to predict a disease course, a complication or the response to a therapy could help us shift from a reactive to a proactive approach in healthcare.