Optimizing Health and Readiness
The United States Air Force needs to assess the health of its Airmen on an ongoing basis to ensure the success of Air Force missions and improve safety for its pilots. After all, to perform their best on missions, Airmen need to be at an ideal physiological state, without undue fatigue or stress. Keeping an eye on how environmental factors affect the human body gives Air Force medical teams actionable insight on how to better train and treat Airmen so that pilots can maintain peak performance levels and can get back to the skies as quickly as possible after injury or illness.
To get that inside look at how the human body responds to its environment and therefore assess an Airman’s health and readiness for missions, the Air Force collects biometric data from Airmen. Of course, collecting the data is only part of how it works. Once data streams are available, Air Force medical teams need a way to be able to process the information quickly so they can provide the best possible guidance and treatment—and that is where Adyptation can help. We recently were awarded a Phase II Small Business Innovation and Research (SBIR) contract to develop a robust software tool to analyze and display health data for military medical teams.
How Our Technology Works
We leverage machine learning to quantify the health status and mission readiness of Airmen. We do this by analyzing data that Airmen generate in real-time from sensors and other wearables and by displaying that analysis in an intuitive dashboard for physicians at the United States Air Force School of Aerospace Medicine (USAFSAM). In effect, we automate the triage process for alerts, making it easy for physicians to see quickly which of their Airmen patients are ready for a mission, which are showing patterns that may necessitate closer observation, and which have data patterns that indicate a possible health concern. When data monitoring is coupled with our machine learning, physicians can make faster, more informed decisions regarding how best to treat Airmen. You can check out how it works in this short video.
Machine Learning and Commercial Health Care
Our machine learning and software can address critical gaps in care for under-served populations—namely, the autoimmune community. For patients managing autoimmune diseases, getting to the root of what is going on in their bodies can be challenging, and without definitive cures for these conditions, the best they can hope to do is manage their symptoms consistently and achieve remission. The human body is always communicating to us how it is doing through shifts in biometric patterns like blood pressure, body temperature, blood glucose, and more. Once sensors pick up that data, Adyptation’s machine learning identifies trends and alerts the care team.