Every day, companies like Google, Amazon, Facebook, and Netflix are using data to better care for their customers, to personalize ads and recommendations, and ultimately, to make money. They pull any data they can get their hands on and push them through modern machine-learning algorithms to create accurate predictions about future customer behavior.
In medicine, however, we often rely on sleep-deprived providers to cull through an enormous amount of data by hand in order to make decisions, which can lead to errors that can cost patients their lives. The prediction algorithms we do use were often created using modeling techniques developed over 100 years ago and value simplicity over accuracy. In 2016, where EHRs are ubiquitous and false alarms are everywhere, I think we owe it to our patients to develop the most accurate models possible and to use the data we collect on our patients every day. I’m excited for our field to be inspired by what the private sector is doing with data and to develop ways to use real-time information to improve patient care. [Read more…] about NetWork Featured Lecture: Using Big Data to Detect Clinical Deterioration