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...

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...

Sepsis affects more than 1.5 million people annually and contributes to as many as half of all hospital deaths in the United States. Early sepsis detection and timely treatment can significantly reduce sepsis-related mortality. For timely detection, healthcare providers increasingly leverage...

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...