
Predictive Model for Assisted Triage of Traumatic Brain Injury
A model to aid actionable mild to moderate TBI triage decisions in the ER.

A model to aid actionable mild to moderate TBI triage decisions in the ER.

Estimates the pre-test probability of bacteremia and post-test probability of blood culture results in hospitalized patients for EHR-based clinical decision support.

Placing patient-specific 3D images in the Neurosurgeon’s field of view using augmented reality and advanced imaging to increase precision for epilepsy surgery.

Guiding appropriate specialty consultation and delivering tailored patient educational content.

A population health solution for NAFLD with an ultimate goal to optimize health care resources by improving access for high risk patients and minimizing unnecessary referrals.

Improving dermatology access, care delivery and cost via machine learning assisted risk stratification.

A machine learning risk stratification model to improve recognition and management of high risk PE while also reducing hospital utilization for low risk patients.

Identify high risk mortality inpatients to provide them with a Transition of Care Toolkit to help with advance care planning.

A Hospital at Home program in Wake County that would allow patients to be treated for hospital-level conditions in their homes.