So welcome to module four. In this module, we will look at the increasing role of analytics in healthcare. We have always used data in the provision of healthcare as it provides good documentation for practice performance based on best practices for the treatment of disease and evaluating the performance of new medications from clinical trials. While this data was necessary and continues to be used, it is often based on learning that have occurred in the past and past learning can provide some direction for future treatments and operational delivery. However, it does not identify specific information on how this information can be used to prioritize and predict the efficacy for treating individuals. One of the reasons for this shortcoming is the speed and volume of new science, new developments of treatment, and expanded use of a range of data which can all be analyzed almost immediately because of the speed of computing capabilities. No longer can a physician rely on medical journals, medication development articles, or even continuing education to keep up with the demands of seeing patients as well. Another reason for this is the development of new technologies such as new sources of information that can be accessed on our home computer, phone, or even home monitoring. These sources often are not integrated into a patient's medical record. So, often the provider may not be using the most up-to-date information. Lastly, rarely is this data used to evaluate new operational models to best determine when and how to see the right patient at the right time with the right treatment. But with new sources of big data and new tools to evaluate this data, new processes are being developed. So, let's begin to look into some of these challenges as we continue to discuss the impact on consumers and how the access to care in this new and ever changing world of healthcare.