Predictive algorithms have an increasingly important role in supporting the day-to-day operations of healthcare organizations. Yet, fully realizing the value of algorithms lies critically in the opportunity to re-engineer the related processes and redefine roles in ways that make organizations...

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...

We study a two-echelon supply chain consisting of a supplier and a retailer, where the supplier uses a simple and easily implementable incentive scheme - making a side payment - to influence the retailer's ordering plan. The supplier makes a take-it-or-leave-it offer to the retailer in the form...

In designing coordination contracts, the conflict between theory and practice often appears in the form of a trade-off between the complexity of theoretically optimal solutions and their ease of implementation in the real world. In this study, we explicitly consider complexity as a design factor...

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...

When algorithms use data generated by human beings, they inherit the errors stemming from human biases which likely diminishes their performance. We examine the design and value of a bias-aware linear classification algorithm that accounts for bias in input data, using breast cancer diagnosis as...

Health information exchanges (HIEs) are expected to improve poor information coordination in Emergency departments (EDs); however, whether and when HIEs are associated with better operational outcomes remains poorly understood. In this work, we study HIE and length of stay (LOS) relationship...