Using a predictive model that leverages electronic health record data, researchers at the University of Pennsylvania’s Perelman School of Medicine were able to anticipate in a pilot program which lung cancer patients were at risk for treatment in the emergency department.
During a two-week trial period, Penn researchers successfully predicted a third of all ED visits and were able to identify which lung cancer patients were at high risk and low risk for requiring this kind of care. Results of the pilot were presented at the 2017 American Society of Therapeutic Radiation Oncology annual meeting held this week in San Diego.
