Firms often finance their inventory through debt and subsequently sell it to generate profits and service the debt. Pricing of products is consequently driven by both inventory and debt servicing considerations. In the present paper, we analyze how debt distorts dynamic pricing decisions and reduces generated sales revenues. We show that debt induces sellers to always price higher than the revenue-maximizing price.
Many service systems have servers with different capabilities and customers with varying needs. One common way this occurs is when servers are hierarchical in their skills or in the level of service they can provide. Much of the literature studying such systems relies on an understanding of the relative costs and benefits associated with serving different customer types by the different levels of service. In this work, we focus on estimating these costs and benefits in a complex healthcare setting where the major differentiation among server types is the intensity of service provided.
Objective:
We sought to build on the template-matching methodology by incorporating longitudinal comorbidities and acute physiology to audit hospital quality.
Study Setting:
Patients admitted for sepsis and pneumonia, congestive heart failure, hip fracture, and cancer between January 2010 and November 2011 at 18 Kaiser Permanente Northern California hospitals.
Study Design:
Unplanned transfers of patients from general medical-surgical wards to the Intensive Care Unit (ICU) may occur due to unexpected patient deterioration. Such patients tend to have higher mortality rates and longer lengths of stay than direct admits to the ICU. A new predictive model, the EDIP2, was developed with the intent to identify patients at risk for deterioration, which in some cases could trigger a proactive transfer to the ICU. While it is conceivable that proactive transfers could improve individual patient outcomes, they could also lead to ICU congestion.
Objective:
To understand the impact of adding a medical step-down unit (SDU) on patient outcomes and throughput in a medical intensive care unit (ICU).
Design:
Retrospective cohort study.
Setting:
Two academic tertiary care hospitals within the same health-care system.
Patients:
Adults admitted to the medical ICU at either the control or intervention hospital from October 2013 to March 2014 (preintervention) and October 2014 to March 2015 (postintervention).
An essential function of the Federal Reserve is to manage the central payment system. The distributed ledger technology is a digital innovation with the potential to transform payments, clearing, and settlement processes. In my brief remarks, I will introduce the Federal Reserve's management of payment systems, emphasize how the distributed ledger technology could reduce operational and financial inefficiencies for payment systems, and highlight some potential challenges to the distributed ledger technology's broad implementation.
We study the relationship between capacity and performance for a service firm with spatial operations, in the sense that requests arrive with origin-destination pairs. An example of such a system is a ride-hailing platform in which each customer arrives in the system with the need to travel from an origin to a destination. We propose a state-dependent queueing model that captures spatial frictions as well as spatial economies of scale through the service rate.
In hospitals, Step Down Units (SDUs) provide an intermediate level of care between the Intensive Care Units (ICUs) 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 SDUs 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.
In many auctions, buyers are represented by an intermediary that manages their bidding process, along with that of other buyers. Notably, this is prevalent in the real-time online display advertising market, in which advertisers bid for impressions through intermediaries called demand side platforms (DSPs). In turn, intermediaries, when bidding on behalf of their customers, strategize to maximize some internal objective and may only submit a single bid to limit competition on a given item.