Medical Analytics


Hospitals and organizations are not necessarily prepared for the huge influx of data they may receive with new technologies and systems. In this deluge of data, if they are not prepared then they cannot leverage all of the data they are gathering. Even navigating this large volume of data requires a much greater degree of analytics, management and security requirements than ever before.

Our deep experience in processing streaming sensor data and engineering is directly applicable to medical support systems. These capabilities translate well to medicine, where it is imperative that caretakers have the right information at the right time to provide patients with optimal care.

For instance, having the right information at the right time is crucial to the early detection and treatment of sepsis. Lockheed Martin was able to configure our analytics to detect sepsis in a large hospital patient set more accurately and faster than the currently implemented method.

Data analytics has the potential to impact not only the early detection of sepsis but personalized therapies, the detection of undiagnosed heart disease and the prediction of diabetes.

Understanding genomics, the study of the genome or the entire genetic makeup of an organism, may hold the key to personalized medicine. But, genomics represents an enormous amount of data, and the benefits may only be realized by analyzing and managing information at a smaller scale, a Lockheed Martin core capability.

Privacy, security and proper management are paramount to all data processing, particularly data that deals with genetic information. This is where our systems engineering expertise, commitment to engineering rigor and proven capabilities in security contribute to our ability to work in this complex field.