Robust operating room planning considering upstream and downstream units: A new two-stage heuristic algorithm

Moosavi, Amirhossein; Ebrahimnejad, Sadoullah

doi:10.1016/j.cie.2020.106387

Cited by 22 publications

(33 citation statements)

References 41 publications

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“…Fügener et al published a tutorial with an example from a surgical suite [20]. Some contemporary studies treat each patient as having a length of stay equal to the mean for their procedure category (i.e., assuming perfect predictive ability) [21][22][23][24][25]. Others use discrete empirical probability distributions, statistically analogous to the Wilcoxon-Mann-Whitney approach [20,[26][27][28][29].…”

Section: Discussionmentioning

confidence: 99%

Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases’ Contributions to Hospital Occupancy

Dexter¹,

Epstein²,

Shi³

2021

Cureus

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Introduction When the hospital census is high, perioperative medical directors or operating room (OR) managers may need to consider postponing some surgical cases scheduled to be performed within the next three workdays. This scenario has arisen at hospitals in regions with large increases in admissions due to coronavirus disease 2019 (COVID-19). We compare summary measures for hospital length of stay (LOS) to guide the OR manager having to decide which cases may need to be postponed to ensure a sufficient reserve of available inpatient beds. Methods We studied the 1,201,815 ambulatory and 649,962 inpatient elective cases with a major therapeutic procedure performed during 2018 at all 412 non-federal hospitals in Florida. The data were sorted by the hospital, and then by procedure category. Statistical comparisons of LOS were made pairwise among all procedure categories with at least 100 cases at (the) each hospital, using the chi-square test (LOS ≤ 1 day versus LOS > 1 day), Student's t-test with unequal variances, and the Wilcoxon-Mann-Whitney test. The comparisons among the three tests then were repeated having sorted the data by procedure category and making statistical comparisons among all hospitals with at least 100 cases for the procedure category. Results Whether using a criterion for statistical significance of P < 0.05 or P < 0.01, and whether compared with Student's t-test with unequal variances or Wilcoxon-Mann-Whitney test, the chi-square test had greater odds (i.e., greater statistical power) to detect differences in LOS (all four with P < 0.0001 and all 95% lower confidence limits for odds ratios ≥ 3.00). The findings were consistent when the data, first sorted by procedure category and then by probability distributions of LOS, were compared between hospitals (all P < 0.0001 and the 95% lower confidence limits for odds ratio ≥ 3.72). Conclusions For purposes of comparing procedure categories pairwise at the same hospital, there was no loss of information by summarizing the probability distributions using single numbers, the percentages of cases among patients staying longer than overnight. This finding substantially simplifies the mathematics for constructing dashboards or summaries of OR information system data to help the perioperative OR manager or medical director decide which cases may need to be postponed, when the hospital census is high, to provide a sufficient reserve of inpatient hospital beds.

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Section: Discussionmentioning

confidence: 99%

Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases’ Contributions to Hospital Occupancy

Dexter¹,

Epstein²,

Shi³

2021

Cureus

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“…This study aims to introduce the best sequence of operations in each room to optimize the start time and waiting time for surgeons. Mousavi and Ebrahimnejad [39] presented the problem of operating room scheduling at tactical and operational levels of decision-making by considering the processes before and after the operation. For this purpose, a multi-objectiv e mathematical programming model was proposed for scheduling the specialized operations considering the uncertainty of the operation duration, length of stay, and emergency needs.…”

Section: Literature Reviewmentioning

confidence: 99%

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

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T oday, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multiobjective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. In this regard, since the duration of patient preparation and implementation of treatment processes occur in three states of optimistic, pessimistic, and normal, the introduced parameters are examined relying on a fuzzy uncertainty analysis of the problem. Hence, the model is measured in a real numerical solution sample in a medical center to evaluate and confirm the proposed mathematical model. T hen, two meta-heuristic algorithms (NRGA and NSGAII) are implemented on the mathematical model to analyze the proposed model. Finally, the research results indicate that the NSGA-II is more efficient in the operating room scheduling problem.

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“…In practice, data is not always available or sufficient. Given the lack of surgery duration data, ( Moosavi and Ebrahimnejad 2020 ) proposed a robust scheduling model. Similarly, ( Wang, et al 2019 ) built a distributionally robust optimization model to minimize operating room opening costs and expected overtime.…”

Section: Related Literaturementioning

confidence: 99%

How does the hospital make a safe and stable elective surgery plan during COVID-19 pandemic?

Dai

Wang

Shi

2022

Computers & Industrial Engineering

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Robust operating room planning considering upstream and downstream units: A new two-stage heuristic algorithm

Cited by 22 publications

References 41 publications

Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases’ Contributions to Hospital Occupancy

Proportions of Surgical Patients Discharged Home the Same or the Next Day Are Sufficient Data to Assess Cases’ Contributions to Hospital Occupancy

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

How does the hospital make a safe and stable elective surgery plan during COVID-19 pandemic?

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