Caremap: A Digital Personal Health Record to Coordinate Care for Children with Complex Health Needs
Coordinating care for children with complex health needs.
RFA Innovation Pilot
RFA Innovation Awards
Machine Learning Approach to Pediatric Sepsis Recognition
The Problem Mitigation of mortality in pediatric sepsis patients require early detection of sepsis warning signs, however vital signs and lab abnormalities are more ambiguous
Problem List Aggregator and Clean Up Tool
Problem lists are poorly maintained with no one owner and many contributors. This project takes steps to improve the organization of the PL and will automate cleanup of select clinical entities.
Building a Predictive Model for Post-operative Complications and Survival after Lung Transplantation
Using ML to better predict post-transplant mortality.
Mortality Risk Stratification Tool for Older Surgical Adults
Developing a perioperative geriatric-specific risk stratification tools to optimize care for older surgical patients.
Predictive Model for Assisted Triage of Traumatic Brain Injury
A model to aid actionable mild to moderate TBI triage decisions in the ER.
A Unified Framework for Predicting Bacteremia and Interpreting Blood Culture Results
Estimates the pre-test probability of bacteremia and post-test probability of blood culture results in hospitalized patients for EHR-based clinical decision support.
Transforming Epilepsy Surgery with Augmented Reality
Placing patient-specific 3D images in the Neurosurgeon’s field of view using augmented reality and advanced imaging to increase precision for epilepsy surgery.
Using Xealth to Manage Population Health and Engage Patients with Chronic Kidney Disease
Guiding appropriate specialty consultation and delivering tailored patient educational content.