AI/ML Implementation & Enabling Infrastructure
DIHI has developed a diverse portfolio of Augmented Intelligence & machine learning models and is responsible for the underlying infrastructure to facilitate their development and implementation into Duke Health. DIHI applies devops principles to the entirety of its infrastructure design to achieve reproducible, monitored, automated, and tested deployments of innovations at-scale for Duke.
Automating Patient Connection for Health-Related Social Needs
Addressing food insecurity and other social needs.
Clinical Education Dashboards using LLMs to Improve Education at Duke
Summarizing educational experiences for trainees.
Automating Oncology Patient Access and Elevating the Patient Experience
Identifying specialty and clinical urgency for patient appointments.
Matching Transplant Donors to Recipients using Generative AI/LLM
Helping match transplant kidneys.
Using AI to Reduce the Burden of Prior Authorizations
Assisting prior authorization requests for a prototypical medication.
Using AI for Surgery Pre-Authorization
Identifying and outlining documentation for surgery pre-authorizations.