The data revolution: Networks, platforms, and the data sciences in health

Abstract

The digital health (r)evolution may ultimately succeed or fail based on how we use data to change our behaviors, policies, and organizations over the coming years. In order to see why this is so we will examine some of the health data challenges that our system has been struggling with over the past decade or so and why these problems will only grow unless the healthcare system becomes a more data-driven system as a whole. Medicine at the bedside is an empirical, data-driven science but also an art based on a subjective evaluation of the patient’s social context, behavior, and psychology.