Long before big data and artificial intelligence were practical, investigators in the pediatric critical care unit at The Johns Hopkins Hospital were using data from electronic health records to share information among care sites, find diagnostic patterns and support operational efficiencies. Recently, we leveraged what are now Johns Hopkins’ routine machine-learning techniques to identify sepsis, septic shock and impending cardiac arrest, and we novelly leveraged large language models to analyze physiological data.

With philanthropic support, we believe this project will demonstrate vast improvement in patient outcomes. Additionally, this endeavor harnesses the world-renowned medical expertise of Johns Hopkins Medicine and the machine learning and artificial intelligence preeminence of the Johns Hopkins Whiting School of Engineering. This partnership provides us with a distinguished opportunity to enact great change through the intersection of engineering and health care in a way that benefits sick children.

Your gift will help provide state-of-the-art equipment that collects and feeds real-time data to the monitors and devices supporting the patient. This data will be used by the care team, scientists and engineers not only to provide world-class patient care, but also to develop AIDAs, thereby bringing the promise of artificial intelligence to the bedside of critically ill children and improving their outcomes.