Capacity Decision in Emergency Hospital Operation Rooms: Sizing Using Simulation

Capacity Decision in Emergency Hospital Operation Rooms: Sizing Using Simulation

Ana Carolina Pereira de Vasconcelos Silva (Rio de Janeiro State University, Brazil), Daniel Bouzon Nagem Assad (Rio de Janeiro State University, Brazil) and Thais Spiegel (Rio de Janeiro State University, Brazil)
Copyright: © 2018 |Pages: 16
DOI: 10.4018/978-1-5225-3226-2.ch006

Abstract

The operations management is a multidisciplinary field that investigates, for instance, the design, management and processes improvement focused on the development, production, distribution and delivery of products and services, encompassing activities such as the implementation of policies, making quota decisions, identification and problem solving, response to uncertainty, among others. Regarding the resources dimensioning in hospitals, the Brazilian scenario is limited to legislative instruments that assume a prior and added sizing. This chapter uses a discrete event simulation tool to set the amount of operation rooms needed for patient care in an emergency department, so that emergency patients have guaranteed compliance, minimizing the cancellation of elective surgeries because of this type of demand. As a result, it was found that the minimum amount established by normative instruments was not appropriate to the specific requirements of the organization.
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Background

Operations management is a multidisciplinary field that investigates the design, management and improvement of processes aimed at the development, production, distribution and delivery of products and services (SPIEGEL, 2013). It involves a whole range of different decisions that will determine the overall purpose of the operation, structure and operational practices, where the organization's resources need to be managed in the way they are directed, how they are designed, how delivery is planned and controlled and how they are developed and improved (SLACK et al., 2009). Thus, operations management deals with decision-making related to production processes to ensure that the resulting products or services are produced according to the specifications, in the quantities and schedule required and with minimal cost (SHIN & SIEGEL, 1999).

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