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First National Healthcare (FNH) runs a large network of hospitals and has worked to systematically reduce waiting times in its emergency departments. One of FNH's regional networks has run a successful marketing campaign promoting its low ED waiting times that other regions want to emulate. The corporate quality manager must now determine whether to allow these campaigns to be rolled out and, if so, which waiting time estimates to use. Are the numbers currently being reported accurate? Is there a more accurate way of estimating patient waiting time that can be easily understood by consumers?

Stan Kent, vice president of pharmacy at NorthShore University HealthSystem, is faced with the challenge of seasonal planning for the influenza vaccine. The supply received by the multilocation healthcare system is unreliable in terms of timing and quantity. As part of improved planning, Kent is contemplating a new contract with NorthShore's major supplier of flu vaccines. The options under consideration include fixing either the date of delivery or the quantity delivered. The main decision involved in either option would be how much vaccine to order. The case also provides details about the seasonal influenza epidemic in the United States, illustrates operational complexities of the U.S. flu vaccine supply chain, and provides a brief description of the various channels used to distribute flu vaccine to end consumers.

The main objective of the case is to illustrate supply chain decision making when there is an unreliable supply (in contrast to the usual case of uncertain demand). A secondary objective is to make students think about appropriate internal (within sector) and external (other sectors) benchmarks to evaluate the performance of a health commodity supply chain.

Roger Osayende, a former management consultant, must advise the Ministry of Health of Ektu, a fictional country in Central Africa, on how to implement a new point-of-care diagnostic test for infants with HIV. In Ektu, mothers often transmitted HIV infection to infants during pregnancy, delivery, or breastfeeding due to inadequate resources to invest in prevention efforts. The existing procedure to diagnose infants with HIV required collecting dried blood samples at more than two hundred healthcare facilities around the country and transporting them to a central laboratory in the capital for testing. This process was characterized by significant delays due to long transportation times, batching of samples in transportation and processing in the lab, and concomitant congestion in the lab. This delay resulted in loss to follow-up, that is, lost patients due to mothers not collecting their infants' results. A new point-of-care device was about to be introduced, which would obviate the need for this centralized processing and the resulting diagnostic delay. The key decision under consideration is where to place the devices to maximize their effectiveness.

Understand the importance of making public health decisions based on a data-driven, logical framework   Uncover the link between operational performance of the healthcare system and health outcomes at the population level   Appreciate the relevance of operational decisions in enhancing or diminishing the effectiveness of a medical technology   Use process analysis concepts to characterize various components of delays