סמינר בניהול טכנולוגיה ומערכות מידע

Abstract: 

 Step Down Units (SDUs) provide an intermediate level of care between the Intensive Care Unit (ICU) and the general medical-surgical wards. Because SDUs are less richly staffed than ICUs, they are less costly to operate; however, they also are unable to provide the level of care required by the sickest patients. There is an ongoing debate in the medical community as to whether and how SDU units should be used. On one hand, an SDU alleviates ICU congestion by providing a safe environment for post-ICU patients before they are stable enough to be transferred to the general wards. On the other hand, SDUs can take capacity away from the already over-congested ICU. In this work, we propose a queueing model to capture the dynamics of patient flows through the ICU and SDU in order to determine how to size the ICU and SDU.  We account for the fact that patients may abandon if they have to wait too long for a bed, while others may get bumped out of a bed if a new patient is more critical.  Using fluid and diffusion analysis, we examine the tradeoff between the flexibility of ICUs to treat patients of varying severity versus the additional capacity achieved by allocating nurses to the SDU due to the lower staffing requirement. Despite the complex patient flow dynamics, we leverage a state-space collapse result in our diffusion analysis to establish the optimal allocation of nurses to units. We find that under some circumstances the optimal size of the SDU is zero, while in other cases, having a sizable SDU may be beneficial.   The insights from our work will be useful for hospital managers determining how to size their own hospital units.

Joint work with Carri Chan (Columbia University) and Bo Zhu (NYU - Courant).