Adam’s research is focused on developing innovative health delivery models. Utilizing advanced computational methods and Machine Learning techniques, Adam generates solutions to complex healthcare challenges - designing processes and systems to ensure patients receive the highest quality of care.
Adam has created advanced prediction models to arm healthcare leaders with clear and actionable insights that enable superior decision making. He has explored methods to increase surgical capacity, prevent day-of-surgery cancellations, better estimate operating room case length, forecast future patient census, optimize clinical pathways, and minimize patient length of stay.
Predictive Modeling, Data Science, Process Improvement, Operational Analysis, Health Systems Dynamics.