A systematic review of research design and modeling techniques in inpatient bed management

Hé, Lǚ; Madathil, Sreenath Chalil; Oberoi, Amrita; Servis, Greg; Khasawneh, Mohammad T.

doi:10.1016/j.cie.2018.10.033

Cited by 58 publications

(64 citation statements)

References 64 publications

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“…Therefore, some studies presented in the literature propose techniques or models to support the ICU allocation problem. He et al [ 20 ] presented a systematic literature review of research design and modeling techniques to support inpatient bed management. The authors recognized the complexity of this problem, which is affected by several factors, such as uncertainties about the patients' length of stay, fluctuations in demands, and unexpected admissions.…”

Section: The Icu Allocation Problemmentioning

confidence: 99%

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

Frej

Roselli

Ferreira

et al. 2021

Computational and Mathematical Methods in Medicine

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This paper puts forward a decision model for allocation of intensive care unit (ICU) beds under scarce resources in healthcare systems during the COVID-19 pandemic. The model is built upon a portfolio selection approach under the concepts of the Utility Theory. A binary integer optimization model is developed in order to find the best allocation for ICU beds, considering candidate patients with suspected/confirmed COVID-19. Experts’ subjective knowledge and prior probabilities are considered to estimate the input data for the proposed model, considering the particular aspects of the decision problem. Since the chances of survival of patients in several scenarios may not be precisely defined due to the inherent subjectivity of such kinds of information, the proposed model works based on imprecise information provided by users. A Monte-Carlo simulation is performed to build a recommendation, and a robustness index is computed for each alternative according to its performance as evidenced by the results of the simulation.

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Section: The Icu Allocation Problemmentioning

confidence: 99%

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

Frej

Roselli

Ferreira

et al. 2021

Computational and Mathematical Methods in Medicine

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“…Of the 19 papers considered here, six papers used the literature review method, while 13 papers used the systematic literature review method. Of the systematic review papers, only He and associates [ 21 ] used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for reporting a systematic review. The majority of the papers review multiple simulation methods, and almost half of the papers concern the overall healthcare area.…”

Section: Evaluation Of Review Papersmentioning

confidence: 99%

A System Dynamics Simulation Applied to Healthcare: A Systematic Review

Davahli

Karwowski

Taı̈ar

2020

IJERPH

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In recent years, there has been significant interest in developing system dynamics simulation models to analyze complex healthcare problems. However, there is a lack of studies seeking to summarize the available papers in healthcare and present evidence on the effectiveness of system dynamics simulation in this area. The present paper draws on a systematic selection of published literature from 2000 to 2019, in order to form a comprehensive view of current applications of system dynamics methodology that address complex healthcare issues. The results indicate that the application of system dynamics has attracted significant attention from healthcare researchers since 2013. To date, articles on system dynamics have focused on a variety of healthcare topics. The most popular research areas among the reviewed papers included the topics of patient flow, obesity, workforce demand, and HIV/AIDS. Finally, the quality of the included papers was assessed based on a proposed ranking system, and ways to improve the system dynamics models’ quality were discussed.

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“…A recent review by Zhang [17] confirmed these findings. For example, DES is the most popular technique used to support bed management decisions and to model hospital-wide patient flow due to its ability to develop models rapidly, conduct strong analysis, and evaluate scenarios [18].…”

Section: Volume and Nature Of Simulation Studies In Healthcarementioning

confidence: 99%

Simulation in Saudi Healthcare: An Empirical Study Revealing the Current Status and Future Prospects

Alrabghi¹

2020

SAJIE

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Providing efficient healthcare is more important today than ever before. Simulation is a well-established technique that has been used to understand and improve systems in various applications. It seems that simulation implementation in the healthcare industry is surrounded by a number of issues. Research on the subject has been mostly restricted to the analysis of academic literature, with a few industrial surveys. This empirical study contributes to our understanding of simulation application in Saudi healthcare services. The findings include an analysis of performance improvement methodologies currently in use, as well as simulation applications, barriers, and potential.

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A systematic review of research design and modeling techniques in inpatient bed management

Cited by 58 publications

References 64 publications

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

Decision Model for Allocation of Intensive Care Unit Beds for Suspected COVID-19 Patients under Scarce Resources

A System Dynamics Simulation Applied to Healthcare: A Systematic Review

Simulation in Saudi Healthcare: An Empirical Study Revealing the Current Status and Future Prospects

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