Grants

Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction (2021)

Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction (2021)

Research Interests for Patients

My research centers upon the vision that all critically ill patients receive data-driven comprehensive medication management. In particular, I am interested in the development and implementation of artificial intelligence (AI) to improve clinical decision-making for medication management, including structuring medication data pipelines for interoperability, methods development for handling high-dimensional medication data, and implementation that connects AI-driven insights to clinicians at the bedside to improve patient-centered outcomes. I am also interested in how to improve the meaningfulness of scientific discovery through team science and mentorship network and am the author of two books on these topics, Pay It Forward: A Map to Mentorship in Medicine and InteGREAT: How to make great healthcare teams.