RFA Innovation Awards
Demonstrate the feasibility and utility of integrating electronic patient-reported outcomes (ePROs) into the existing Epic electronic health record for use in outpatient cancer care.
A population-health based pathway to provide ACP at the Duke Outpatient Clinic.
Reducing Emergency Department length of stay through population-based predictive modeling.
Predicting the development of in-hospital complications requiring ICU care in initially stable patients with NSTEMI.
Increasing and improving how hospitalists discuss goals of care with their patients and their families.
Allows surgeons access to comparative historical performance reports and “out of pocket” costs per patient.
A viable predictive model to positively affect patient palliative care workflows.
Optimization of perioperative care through machine learning.
We were seeking to understand the causes of over-aggressive care at the end of life. We identified that most aggressive care was due to over
