Sepsis Watch is a deep learning model that leverages real-time EHR data to improve detection and treatment of sepsis in the hospital. It was successfully integrated into routine clinical care in November 2018 and has reshaped how local machine learning projects are executed.
Provides clinicians decision support when ordering analytes to promote high value analyte ordering.
Reducing Emergency Department length of stay through population-based predictive modeling.
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.
Implementing a mobile complex care plan for provider and patient’s guardians to coordinate care approaches.
