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.
Enhancing C.L.R. Medication Reconciliation: Leveraging AI to Standardize and Optimize Med Safety
Check, locate, and review.
Optimizing Pediatric Psychiatry Handoffs: Integrating AI into Clinical Practice
Making handoffs more complete and accurate.
Utilizing Technology To Improve Efficiency in the Care of Transplant Candidates and Recipients
Increasing capacity for new evaluations/ transplants.
Scout: the RCT and pilot, in brief
Scout digs through EHR data, including every note and report, to deliver exactly the information you need, in the format you want.
