Precision Medicine in Point-of-Care Management of Surgical Complications
Sun, Zhifei ; Futoma, Joseph ; Sendak, Mark ; Lorenzi, Elizabeth ; Brown, Stephanie ; Huang, Ouwen ; Heller, Katherine ; Thacker, Julie ; Mantyh, Christopher ; Huang, Erich
Surgeon experience or population data, rather than personalized predictions, currently guide post-surgical care. We hypothesize that predictive modeling of surgical outcome data and making models accessible "as a service" at the point-of-care can augment experiential decision-making and thus translate into reduction of post-surgical complications and hospital length of stay. A prototype of an integrated analytical platform was developed for: (1) data intake from an electronic health record, (2) predictive modeling using machine-learning techniques, and (3) deployment of predictions results with personalized interventions.