Advancing Healthcare Through Artificial Intelligence

Harnessing a 4TB statewide claims database to identify risk factors for severe maternal morbidity — affecting 50,000+ women annually — and test AI-driven interventions for equitable care.

Applying NLP and predictive modeling to nursing administrative data to surface quality insights, identify care gaps, and build scalable classification pipelines for clinical decision support.

A study leveraging transformer-based models (BEHRT) to automatically classify nursing diagnoses from ICD-coded claims — enabling scalable population-level nursing quality research.

Using UNLV's VR/AR infrastructure, Unity development expertise, and clinical nursing leadership to build immersive simulation environments for rare, high-stakes scenarios nurses may rarely encounter — but must always be ready for.