Supporting situational awareness in hospital: UX research integrating AI, NLP and chatbots

Hundreds of thousands of people die each year in hospital from sepsis; costing billions of dollars annually. Patients may show a few subtle signs, and then can rapidly decompensate, making diagnosis and early treatment of sepsis challenging. Detecting those signs quickly, coordinating the response, and acting fast can often be the difference between life and death. We will describe the human factors challenges in a two-year development of an application to support clinicians in situational awareness in patient care – especially focused on those patients at risk for sepsis. We will tell the story of the challenges faced in integrating AI, UX, NLP, Voice Recognition, SMS, and Chat Bots in a hospital environment.