Physician Scheduling for Continuity: An Application in Pediatric Intensive Care

Smalley, Hannah K.; Keskinocak, Pınar; Vats, Atul

doi:10.1287/inte.2014.0774

Cited by 14 publications

(9 citation statements)

References 33 publications

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“…In addition [123] and [130] had proposed a mix integer linear programming for solving this problem. In addition [131] studied the scheduling of physicians in the pediatric intensive care unit (PICU) too. On the other hand [77] integrated physicians and surgery scheduling for the purpose of solving operating room scheduling problems by using mix integer linear programming.…”

Section: Other Healthcare Scheduling and Planning Problemsmentioning

confidence: 99%

Healthcare scheduling in optimization context: a review

et al. 2021

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This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients’ admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

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Section: Other Healthcare Scheduling and Planning Problemsmentioning

confidence: 99%

Healthcare scheduling in optimization context: a review

et al. 2021

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“…Their goal is to minimize hand-offs, as transferring of patient information from one physician to another presents a greater risk of miscommunication and mistakes. Smalley et al [22] maximizes continuity in a pediatric intensive care unit by introducing a handoff continuity score (HCS) into their physician scheduling problem. The value of HCS helps in measuring the continuity of a schedule.…”

Section: Case Studiesmentioning

confidence: 99%

Improving physician schedules by leveraging equalization: Cases from hospitals in U.S.

Damcı-Kurt¹,

Zhang

Marentay³

et al. 2019

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In this paper, we consider physician scheduling problems originating from a medical staff scheduling service provider based in the United States. Creating a physician schedule is a complex task. An optimal schedule must balance a number of goals including adequately staffing required assignments for quality patient care, adhering to a unique set of rules that depend on hospital and medical specialties, and maintaining a work-life balance for physicians. We study various types of physician and hospital requirements with different priorities, including equalization constraints to ensure that each provider will receive approximately the same number of a specified shift over a given time period. A major challenge involves ensuring an equal distribution of workload among physicians, with the end goal of producing a schedule that will be perceived by physicians as fair while still meeting all other requirements for the group. As the number of such equalization constraints increases, the physician scheduling optimization problem becomes more complex and it requires more time to find an optimal schedule. We begin by constructing mathematical models to formulate the problem requirements, and then demonstrate the benefits of a polyhedral study on a relaxation of the physician scheduling problem that includes equalization constraints. A branch-and-cut algorithm using valid inequalities derived from the relaxation problem shows that the quality of the schedules with respect to the soft constraints is notably better. An example problem from a hospitalist department is discussed in detail, and improvements for other schedules representing different specialties are also presented.

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“…Em [7] o objetivo é maximizar a continuidade de tratamento de um paciente com o mesmo médico, pois a transferência de um paciente para médicos diferentes pode prejudicar seu tratamento. O autor apresenta um modelo e solução para maximizar a continuidade, aplicado a unidade de terapia intensiva pediátrica do hospital "Children's Healthcare" de Atlanta, Estados Unidos.…”

Section: Revisão De Lit Erat Uraunclassified