This paper presents the development, validation, and implementation of a data-driven optimization model designed to dynamically plan the assignment of anesthesiologists across multiple hospital locations within a large multi-specialty healthcare system. We formulate the problem as a multi-stage robust mixed-integer program incorporating on-call flexibility to address demand uncertainty. The optimized dynamic staffing plan has been successfully implemented in the University of Pittsburgh Medical Center healthcare system, leading to estimated annual cost savings of 12\% compared to current practice, or about \$800,000 annually.

Health care costs in the United States make up a larger proportion of gross domestic product (GDP) than in any other developed country and continue to rise. We examine whether the use of consistent metrics in costing information systems across hospitals provides one avenue to reduce these costs. We refer to such consistency as “costing information consistency” or CIC and empirically measure it by identifying whether hospitals in a multihospital system share the same costing system vendor. Using M&A activity among vendors as an instrument for exogenous changes in hospital CIC, we find that CIC is associated with a 13.3% reduction in operating expenses, suggesting that increased cost comparability from CIC helps hospitals identify ways to reduce operating expenses by identifying clinical and administrative best practices.

About 27% of diabetics also suffer from depression, and the presence of co-morbid depression could increase the cost of care for diabetes by up to 100%. Several randomized clinical trials have demonstrated that physical and mental health are more likely to improve for diabetes patients suffering from depression when regular treatment for depression is provided in a primary care setting (called Collaborative Care). An important operational lever in managing Collaborative Care is the allocation of the care manager's time to enrolled patients based on their requirements, which in turn influences the revenue, costs, and patient health outcomes. We present a mathematical modeling approach that determines the optimal allocation of care manager's time and quantifies the costs and benefits of Collaborative Care.

Physicians spend more than 5 hours a day working on Electronic Health Record (EHR) systems and more than an hour doing EHR tasks after the end of the workday. In this paper, we investigate how physicians' workflow decisions on when to perform EHR tasks affect: (1) total time on EHR and (2) time spent after work.

As major health systems continue to merge, one of the main questions for commentators and researchers concerns the somewhat vague idea of community benefit. The Atrium Health–Advocate merger is set to provide approximately $5 billion in annual community benefit, targeted to aid vulnerable communities and individuals. Community benefit can be understood as any action, investment or program provided by a tax-exempt hospital or health system that promotes the health and wellness of the community they serve. In addition to community benefit, Advocate Health described a $2 billion pledge to disrupt the root causes of health inequities across the rural and urban communities it serves.