Algorithm-enabled decision support has an increasingly important role in supporting the day-to-day operations of healthcare organizations. Yet, fully realizing the value of algorithmic decision support lies critically in the opportunity to re-engineer the related processes and redefine roles in...

Recent initiatives to improve health care quality and reduce costs have centered around payment mechanisms and IT-enabled health-information exchanges (HIEs). Such initiatives have profound influences both on providers' choices regarding health care effort levels and HIE adoption and on...

We develop a finite-horizon discrete-time constrained Markov decision process (MDP) to model diagnostic decisions after mammography where we maximize the total expected quality-adjusted life years (QALYs) of a patient under resource constraints. We use clinical data to estimate the parameters of...