Carolinas HealthCare chief innovation officer talks about bringing predictive analytics to the point of care.
After defining some critieria, the health system chose to work with Predixion to help build a strong, reliable predictive model of readmissions that could use Carolinas’ own data. One of Wright’s goals was to do the work in a live environment. “Most of my past as an academic physician was with data scientists in dimly lit rooms off campus churning through hordes and hordes of data,” she said. “Was there some way we could change that paradigm and bring that information to where the case manager is making the decisions? It is too little, too late if the person is already sent home, and we realize that he is a high-risk patient.” Most tools that used predictive modeling were things only data scientists used, she said. What about something that had such a friendly user interface that nurses could use it on a daily basis? She also wanted clinical users to be part of the design process. “We believe that people on the sharp end of the spear, closest to the patient, often have the best insights as to what makes a difference.”
[Read the rest of this article…]