Adaptive operating rooms planning and scheduling: A rolling horizon approach
Publication date: Available online 25 July 2019Source: Operations Research for Health CareAuthor(s): Mehdi A. Kamran, Behrooz Karimi, Nico Dellaert, Erik DemeulemeesterAbstractAccounting for a large portion of the hospital’s total revenue and cost, a better management of the operating rooms is extremely important in improving healthcare scheduling. This paper investigates the Operating Rooms (ORs)Planning and Scheduling Problem in a hospital with a modified block scheduling policy. Thus, the candidate patients have to be assigned a date and an operating room/block as well as being sequenced in the assigned operating ...
Source: Operations Research for Health Care - July 26, 2019 Category: Hospital Management Source Type: research

Optimal integration of desensitization protocols into kidney paired donation (KPD) programs
Publication date: Available online 26 July 2019Source: Operations Research for Health CareAuthor(s): Fatemeh Karami, Monica Gentili, Mehdi Nayebpour, Naoru Koizumi, J. Keith MelanconAbstractBlood type (ABO) incompatibility and antibody to donor human leukocyte antigen (HLA) remain the most significant barriers in transplantation. While pre-transplant desensitization can be administered to overcome such incompatibilities between living donors and their kidney recipients, desensitization alone is likely to fail for those pairs with significant incompatibilities. For these pairs, desensitization can be administered in combina...
Source: Operations Research for Health Care - July 26, 2019 Category: Hospital Management Source Type: research

Chance-constrained admission scheduling of elective surgical patients in a dynamic, uncertain setting
Publication date: Available online 15 July 2019Source: Operations Research for Health CareAuthor(s): Wim Vancroonenburg, Patrick De Causmaecker, Greet Vanden BergheAbstractIn the present contribution, a chance-constrained scheduling model is presented for determining admission dates of elective surgical patients. The admission scheduling model is defined considering a dynamic, stochastic decision-making environment. The primary aim of the model concerns the minimization of operating theatre costs and patient waiting times, while simultaneously avoiding bed shortages at a fixed certainty level through a chance-constrained f...
Source: Operations Research for Health Care - July 16, 2019 Category: Hospital Management Source Type: research

Minimizing Earliness/Tardiness costs on multiple machines with an application to surgery scheduling
Publication date: Available online 15 July 2019Source: Operations Research for Health CareAuthor(s): Maarten Otten, Aleida Braaksma, Richard J. BoucherieAbstractEarly or tardy surgeries are frustrating for both patients and personnel, and cause inefficient use of resources at the operating rooms. The stochastic Earliness/Tardiness (E/T) scheduling problem addresses this by minimizing the total expected deviation of the surgery completion times from the planned completion times. We introduce the concept of E/T-concavity as a property of a probability distribution if the E/T costs are concave as a function of the standard de...
Source: Operations Research for Health Care - July 16, 2019 Category: Hospital Management Source Type: research

A comparison of population segmentation methods
Publication date: Available online 26 June 2019Source: Operations Research for Health CareAuthor(s): R.M. Wood, B.J. Murch, R.C. BetteridgeAbstractThis paper presents the first comparison of descriptive segmentation methods for population health management. The aim of descriptive segmentation is to identify heterogeneous segments according to some target observed measure. In healthcare it can be used to understand how utilisation is distributed among a population, and to identify the patient attributes which explain the greatest differences (knowledge of which can help shape segment-tailored services). In reviewing a numbe...
Source: Operations Research for Health Care - June 27, 2019 Category: Hospital Management Source Type: research

Editorial Board
Publication date: June 2019Source: Operations Research for Health Care, Volume 21Author(s): (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - June 20, 2019 Category: Hospital Management Source Type: research

Examination-order scheduling for minimizing waiting time: A case study of a medical checkup
Publication date: Available online 14 May 2019Source: Operations Research for Health CareAuthor(s): Mari Ito, Shizuka Hara, Mirai Tanaka, Ryuta TakashimaAbstractThis paper introduces a mathematical programming model and a heuristic method for examination-order scheduling in medical checkup. The purpose of this scheduling is to minimize the time spent waiting for medical examinations. We create the examination-order schedule based on the expected throughput of examinations. The obtained schedules improved efficiency by reducing the total time spent waiting. Comparisons with previously used scheduling methods demonstrate the...
Source: Operations Research for Health Care - May 15, 2019 Category: Hospital Management Source Type: research

Improving sustainability in a two-level pharmaceutical supply chain through Vendor-Managed Inventory system
This article aims to improve the sustainability of a pharmaceutical supply chain using a real case study. An analytical model is proposed to explore the effect of implementing a Vendor-Managed Inventory (VMI) system in minimizing the quantity of the expired medications at hospitals. Further, a set of Monte-Carlo simulation tests are conducted to investigate the robustness of the VMI model under demand uncertainty. Experimental results on a real case study under deterministic demand show the efficiency of the VMI model in eliminating the amount of expired medications without compromising customer’s satisfaction. The r...
Source: Operations Research for Health Care - May 7, 2019 Category: Hospital Management Source Type: research

Targeted multi-criteria optimisation in IMRT planning supplemented by knowledge based model creation
Publication date: Available online 7 May 2019Source: Operations Research for Health CareAuthor(s): Katrin Teichert, Garry Currie, Karl-Heinz Küfer, Eliane Miguel-Chumacero, Philipp Süss, Michał Walczak, Suzanne CurrieAbstractIntensity-modulated radiation therapy (IMRT) planning is an inherently multi-criteria task. A multi-criteria workflow (MCW) typically passes the following steps: create an optimisation model with multiple criteria, approximate the Pareto frontier, and visualize the generated plans to the decision-maker (DM) for inspection. This interactive plan selection and manipulation allow to create bett...
Source: Operations Research for Health Care - May 7, 2019 Category: Hospital Management Source Type: research

Stakeholder involvement in drug inventory policies
Publication date: Available online 6 May 2019Source: Operations Research for Health CareAuthor(s): Paola Cappanera, Maddalena Nonato, Roberta RossiAbstractThis paper experimentally investigates the relationships among three major stakeholders that are involved in drug inventory management at Intensive Care Units (ICUs), namely: i) nurses, who in person manage drug orders and carry out storage operations, ii) clinicians, who choose the therapy and shape demand, and iii) the hospital management, who is in charge of the economic sustainability of the hospital. As a case study, we consider the ICU ward of a major Italian publi...
Source: Operations Research for Health Care - May 6, 2019 Category: Hospital Management Source Type: research

Lognormal-based mixture models for robust fitting of hospital length of stay distributions
Publication date: Available online 8 April 2019Source: Operations Research for Health CareAuthor(s): Xu Zhang, Sean Barnes, Bruce Golden, Miranda Myers, Paul SmithAbstractUnderstanding the structure of length of stay distributions can support operational and clinical decision making in hospitals. Our objective is to develop robust methods for fitting these length of stay distributions, which are often skewed and multimodal and contain a significant number of outliers. We define several lognormal-based mixture distributions with two components, one to fit the majority of observations and one to fit the abnormal observations...
Source: Operations Research for Health Care - April 8, 2019 Category: Hospital Management Source Type: research

Comparing Markov and non-Markov alternatives for cost-effectiveness analysis: Insights from a cervical cancer case
Publication date: Available online 3 April 2019Source: Operations Research for Health CareAuthor(s): Cristina del Campo, Jiaru Bai, L. Robin KellerAbstractMarkov models allows medical prognosis to be modeled with health state transitions over time and is particularly useful for decisions regarding diseases where uncertain events and outcomes may occur. To provide sufficient detail for operations researchers to carry out a Markov analysis, we present a detailed example of a Markov model with five health states with monthly transitions with stationary transition probabilities between states to model the cost and effectivenes...
Source: Operations Research for Health Care - April 4, 2019 Category: Hospital Management Source Type: research

Forecasting arrivals and occupancy levels in an emergency department
Publication date: Available online 15 March 2019Source: Operations Research for Health CareAuthor(s): Ward Whitt, Xiaopei ZhangAbstractThis is a sequel to Whitt and Zhang (2017), in which we developed an aggregate stochastic model of an emergency department (ED) based on the publicly available data from the large 1000-bed Rambam Hospital in Haifa, Israel, from 2004-7, associated with the patient flow analysis by Armony et al. (2015). Here we focus on forecasting future daily arrival totals and predicting hourly occupancy levels in real time, given recent history (previous arrival and departure times of all patients) a...
Source: Operations Research for Health Care - March 17, 2019 Category: Hospital Management Source Type: research

Needy boarding patients in emergency departments: An exploratory case study using discrete-event simulation
This article firstly explores the limited previous research on boarding patients. Secondly, this paper quantitatively demonstrates that needy boarding patients can significantly impact system performance and hence should be accounted for in the analysis and planning of an emergency department through discrete-event simulation. Next, three static priority policies (first-come, first-served and always prioritizing either boarding patients or the other patients) and one dynamic priority policy (using accumulating priorities) are evaluated on various performance measures. We find, for our case study, that system performance is...
Source: Operations Research for Health Care - March 1, 2019 Category: Hospital Management Source Type: research

Editorial Board
Publication date: March 2019Source: Operations Research for Health Care, Volume 20Author(s): (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - March 1, 2019 Category: Hospital Management Source Type: research

A role for MCDA to navigate the trade-offs in the National Institute for Health and Care Excellence’s public health recommendations
Publication date: Available online 19 February 2019Source: Operations Research for Health CareAuthor(s): Brian Reddy, Stephen J. Walters, Alejandra Duenas, Praveen Thokala, Michael P. KellyAbstractRecommendations made by the UK’s National Institute for Health and Care Excellence (NICE) consider a range of relevant factors. Most famously, this includes interventions’ incremental cost-effectiveness ratios (ICER). Given the ICER’s primacy in such decision-making, it is sometimes assumed as almost analogous to an optimisation problem, maximising the number of Quality Adjusted Life Years generated by the healt...
Source: Operations Research for Health Care - February 19, 2019 Category: Hospital Management Source Type: research

A variability reduction method for the operating room scheduling problem under uncertainty using CVaR
The objective of the SMILP model is to minimize the CVaR of overtime and idle time costs. Numerical experiments are conducted on real-life benchmark instances, and showed that CVaR outperformed the widely used expected value (EV) approach in reducing variance of the total cost. As compared to the EV in terms of the total cost, the CVaR reduced the variance by 37%, produced a 25% lower interquartile range, and 24% lower median absolute deviation at a slight increase (4%) in the expected value. (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - January 8, 2019 Category: Hospital Management Source Type: research

Optimizing the master surgery schedule in a private hospital
Publication date: Available online 1 December 2018Source: Operations Research for Health CareAuthor(s): Inês Marques, M. Eugénia Captivo, Nara BarrosAbstractThis paper proposes a new mixed-integer linear programming model to build cyclic master surgery schedules (MSSs) for a case study of a medium-sized Portuguese private hospital. The problem integrates tactical and strategical decisions of operating room (OR) planning and scheduling. OR time blocks are assigned to surgical services and to individual surgeons. A target OR time per surgical specialty is not given as it is often the case of other studies in the...
Source: Operations Research for Health Care - December 2, 2018 Category: Hospital Management Source Type: research

Physician rostering for workload balance
Publication date: Available online 16 November 2018Source: Operations Research for Health CareAuthor(s): Thomas Adams, Michael O’Sullivan, Cameron WalkerAbstractContinuity of care for patients, that is ensuring patients are treated by a single physician, is one of the most important concerns for hospital management in regards to general medicine (inpatient) departments. Discontinuous care occurs when the number of patients various physicians are caring for becomes imbalanced and patients are transferred between physicians to correct this. This issue can be addressed by constructing rosters for the physicians which ai...
Source: Operations Research for Health Care - November 17, 2018 Category: Hospital Management Source Type: research

Editorial Board
Publication date: December 2018Source: Operations Research for Health Care, Volume 19Author(s): (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - November 15, 2018 Category: Hospital Management Source Type: research

A mental workload based patient scheduling model for a Cancer Clinic
This study focused on increasing productivity and efficiency in a Cancer Clinic (CC) taking into consideration mental workload. The demand of the clinic has increased and the clinic recognized the importance of improving the distribution of the resources. Addressing these objectives have a positive impact in operations, however, it also requires managing the human elements of the system in an efficient way. Previous studies have considered human resources as a number representing a fix quantity of available entities without considering their mental capabilities. This research measured mental workload using a perceptual too...
Source: Operations Research for Health Care - October 30, 2018 Category: Hospital Management Source Type: research

An efficient algorithm to enumerate sets with fallbacks in a kidney paired donation program
Publication date: Available online 22 October 2018Source: Operations Research for Health CareAuthor(s): Wen Wang, Mathieu Bray, Peter X.K. Song, John D. KalbfleischAbstractKidney paired donation is a partial solution to overcoming biological incompatibility preventing kidney transplants. A kidney paired donation (KPD) program consists of altruistic or non-directed donors (NDDs) and pairs, each of which comprises a candidate in need of a kidney transplant and her/his willing but incompatible donor. Potential transplants from NDDs or donors in pairs to compatible candidates in other pairs are determined by computer assessmen...
Source: Operations Research for Health Care - October 23, 2018 Category: Hospital Management Source Type: research

Inpatient admission management using multiple criteria decision-making methods
Publication date: Available online 15 October 2018Source: Operations Research for Health CareAuthor(s): M. Chalgham, I. Khatrouch, M. Masmoudi, O. Chakroun Walha, A. DammakAbstractEmergency Department (ED) overcrowding is a public health issue associated with harmful effects simultaneously on patients and ED staff. Despite increased policies and efforts to manage this issue, it continues to rise in many EDs all over the world. ED overcrowding is not caused only by the high number of incoming patients and resources shortage, the most affecting factor leading to such problem is the inpatient boarding. In fact, the patient ha...
Source: Operations Research for Health Care - October 16, 2018 Category: Hospital Management Source Type: research

A robust stochastic decision-making model for inventory allocation of surgical supplies to reduce logistics costs in hospitals: A case study
Publication date: Available online 26 September 2018Source: Operations Research for Health CareAuthor(s): Ehsan Ahmadi, Dale T. Masel, Seth HostetlerAbstractIn a hospital, surgical supplies can be stored in multiple locations, each of which has limited space and different associated costs. The locations include central storage, where items are retrieved to build a cart of supplies for each procedure; sterile storage adjacent to the operating rooms; and within the operating rooms themselves. In practice, the decision on allocating items to these locations is often based on the staff’s experience, rather than through o...
Source: Operations Research for Health Care - October 4, 2018 Category: Hospital Management Source Type: research

Creating resident shift schedules under multiple objectives by generating and evaluating the Pareto frontier
We present an integer programming-based approach embedded within a recursive algorithm to generate these schedules. We then present both computational results to assess the tractability of our approach and a case study, based on a real-world scheduling problem at the University of Michigan Pediatric Emergency Department, to study how a Chief Resident would evaluate the Pareto set. (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - September 10, 2018 Category: Hospital Management Source Type: research

Multi-criteria decision analysis for the assessment of non-clinical hospital services: Methodology and case study
Publication date: Available online 9 September 2018Source: Operations Research for Health CareAuthor(s): Irene Lasorsa, Elio Padoano, Sara Marceglia, Agostino AccardoAbstractNon-clinical hospital services to support clinical activities, such as the sterilization service and clinical engineering, are an important technology asset in healthcare, and require constant improvement aimed to reduce economic burden and increase quality. The selection of the most effective healthcare service to adopt in a healthcare facility is a multi-criteria decision problem that classical Health Technology Assessment, being mostly focused on me...
Source: Operations Research for Health Care - September 10, 2018 Category: Hospital Management Source Type: research

A structured literature review of simulation modelling applied to Emergency Departments: Current patterns and emerging trends
We present a selection of case studies to illustrate both our classification and findings, and suggest directions for further research. (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Modeling and analysis of short-term work planning in inpatient care settings
Publication date: Available online 3 February 2018Source: Operations Research for Health CareAuthor(s): Lucy G. Aragon, Laila Cure, Ewing Tiong, Rita BushAbstractThis paper uses operations research (OR) to investigate inpatient care work planning decisions from the perspective of a single healthcare provider in a hospital unit. While there has been considerable research on the modeling and analysis of healthcare delivery systems to support medium- to long-term decisions (e.g., daily operating room scheduling, weekly nurse scheduling), there is little research focusing on decisions made at the operational level by front-lin...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Adapting GA to solve a novel model for operating room scheduling problem with endogenous uncertainty
Publication date: Available online 5 March 2018Source: Operations Research for Health CareAuthor(s): F. Hooshmand, S.A. MirHassani, A. AkhaveinAbstractThis paper addresses a new variant of the daily operating room scheduling problem in which, surgeries have stochastic durations, and in order to get a more flexible schedule, the initial scheduling and the rescheduling decisions are simultaneously considered within a single optimization model. The main point in the formulation of this problem is that the time of the uncertainty realization is decision dependent and hence, the uncertainty is of endogenous nature which is a ne...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Iterative conceptual modeling: A case study in cardiac patient survival simulation
Publication date: Available online 9 March 2018Source: Operations Research for Health CareAuthor(s): Roger McHaney, Iris Reychav, Lin Zhu, Megan McHaney Lindstrom, Yaron ArbelAbstractIterative conceptual modeling techniques were used to abstract a computer model of emergency department patient characteristics from a medical dataset. This research effort focused on unbalanced medical data then developed and defined a simulation of cardiac patient survival. The approach focused on desired real-world outcomes for the model. Specifically, iterative conceptual modeling ensured alignment between real-world needs and model develo...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Streamlining pathways for minor injuries in emergency departments through radiographer-led discharge
In this study, we model patient pathways through an emergency department (ED) at a hospital in the South West of England using process mapping, interviews with ED staff and discrete event simulation (DES). The DES model allowed us to compare the current practice at the hospital with scenarios using radiographer-led discharge of patients directly after imaging and assess the reduction in patients’ length of stay in ED. We also quantified trade-offs between the provision of radiographer-led discharge and its effects, i.e. reduction in waiting times and ED workload. Finally, we discuss how this decision support tool can...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Shelf-space optimization models in decentralized automated dispensing cabinets
Publication date: Available online 5 April 2018Source: Operations Research for Health CareAuthor(s): Nazanin Esmaili, Bryan A. Norman, Jayant RajgopalAbstractWe propose a mixed integer programming (MIP) model to help clinicians store medications and medical supplies optimally in space-constrained, decentralized Automated Dispensing Cabinets (ADCs) located on hospital patient floors. We also propose a second MIP model that addresses human errors associated with the selection of pharmaceuticals from floor storage, and not only selects the best set of medications for storage but also determines their optimal layout within the...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Duty rostering for physicians at a department of orthopedics and trauma surgery
Publication date: Available online 5 April 2018Source: Operations Research for Health CareAuthor(s): Clemens ThielenAbstractThis paper presents a case study of duty rostering for physicians at a department of orthopedics and trauma surgery. We provide a detailed description of the rostering problem faced and present an integer programming model that has been used in practice for creating duty rosters at the department for more than a year. Using real world data, we compare the model output to a manually generated roster as used previously by the department and analyze the quality of the rosters generated by the model over ...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Multi-dose vial administration with non-stationary demand and delayed service
Publication date: Available online 6 April 2018Source: Operations Research for Health CareAuthor(s): Maryam Mofrad, Lisa M. Maillart, Bryan A. Norman, Jayant RajgopalAbstractTo vaccinate patients arriving to clinics in remote locations, clinicians reconstitute vials containing multiple doses of lyophilized vaccines, but often only partially use the vials by the end of the vaccination session. The unused doses are discarded and termed “open vial waste”. Current practice is typically to vaccinate all patients as long as there is inventory on-hand, which results in significant open vial waste. Previous work on det...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

A case study of nonlinear programming approach for repeated testing of HIV in a population stratified by subpopulations according to different risks of new infections
Publication date: Available online 9 April 2018Source: Operations Research for Health CareAuthor(s): Ping Yan, Fan ZhangAbstractMotivated by the vision of the Joint United Nations Programme on HIV/AIDS that 90% of people living with HIV will be diagnosed by year 2020, we present an optimization framework regarding repeated testing of an infectious disease which is transmitted unevenly in the population. A subset of HIV surveillance data in Canada with detailed and compatible variables is pooled for statistical analysis. The study population is Men having Sex with Men (MSM) in Canada from the pooled data. Estimated paramete...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Evaluating the impact of optimization algorithms for patient transits dispatching using discrete event simulation
We present a set of algorithms with varying complexity, ranging from simple heuristics to the use of critical path methods to combine mixed integer formulations for the separated orderly and nurse problems. To address a transit service’s stochasticity, volatility and the resulting need for constant re-optimization, we embed the optimization algorithms in a discrete event simulation to evaluate their performance under realistic circumstances. (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Planning and scheduling operating rooms for elective and emergency surgeries with uncertain duration
Publication date: Available online 14 April 2018Source: Operations Research for Health CareAuthor(s): Line Ravnskjær Kroer, Karoline Foverskov, Charlotte Vilhelmsen, Aske Skouboe Hansen, Jesper LarsenAbstractIn this paper we investigate the planning of operating rooms at Rigshospitalet, a large Danish hospital. Each operation must be assigned to a specific operating room and also be scheduled for a specific time while taking into account clinical guidelines. Both elective and emergency operations are included, such that the elective operations are planned while still taking potential emergency operations into conside...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Supporting healthy route choice for commuter cyclists: The trade-off between travel time and pollutant dose
Publication date: Available online 14 April 2018Source: Operations Research for Health CareAuthor(s): Judith Y.T. Wang, Kim N. Dirks, Matthias Ehrgott, Jon Pearce, Alan K.L. CheungAbstractCyclists form the most vulnerable road user group in terms of injury from traffic accidents, as well as exposure to traffic-related air pollution. Ironically, commuter cyclists are often motivated by improvement in health and fitness. Cycleways away from traffic with lower concentrations of pollutants from motorised vehicles sometimes result in longer distances and hence require longer travel times, while alternative routes sharing the ro...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

A systematic approach for designing Bayesian-lot quality assurance sampling plans
Publication date: Available online 5 May 2018Source: Operations Research for Health CareAuthor(s): Belmiro P.M. DuarteAbstractDesign strategies using Bayesian-Lot Quality Assurance Sampling (B-LQAS) monitoring plans for vaccination coverage and disease eradication typically assume a model with prior information of the parameters. One of the goals B-LQAS plans is finding the minimum sample size so that the characteristics of the risk curve meet user-specified requirements; however, there is no systematic approach to find such optimal B-LQAS plans to date. This paper formulates the problem as a mixed integer linear program a...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

A resilient donor arrival policy for blood
This study introduces a new methodology for calling blood donors by integrating perishability and dual sourcing. It is shown that the proposed donor-arrival policy could replace the current procedure, which requires frequent adjustments to the number of calls. We show that both donor-arrival (current and proposed) policies could decrease shortages and wastages of blood, while only the proposed policy allows a longer lead-time for arrivals and planning operations, and could significantly increase the blood center’s resilience to errors made in forecasting. The proposed policy is also shown to be more effective than ex...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

An iterative method for simultaneously locating trauma centers and helicopters through the planning horizon
This study addresses the problem of simultaneously locating trauma centers and helicopters during the planning horizon. Motivated by a prior study (Cho et al., 2014), we extend the location model into a multi-period location model by introducing an additional decision point: when to locate. Because the original location model is known to be quite difficult given its unique characteristic, in which trauma centers and helicopter locations are coupled, a location model with time-dependent parameters becomes even more difficult to solve. Specifically, the complicated nature of the problem arises from estimating the availabilit...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Editorial Board
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Operational research applied to health services: Finding better health-care decisions in new oceans of health data
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): Fermin Mallor, Sally Brailsford, Marion Rauner, Cristina Azcarate (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Queue length computation of time-dependent queueing networks and its application to blood collection
The objective of the results is twofold: (1) to show that the time-dependent queueing network approach is imperative for some queueing networks, including this application and (2) to evaluate possible improvement scenarios for Dutch blood collection sites that can only be properly assessed with a time-dependent queueing method. (Source: Operations Research for Health Care)
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

An integrated Emergency Care Delivery System for major events
The objective of this paper is to evaluate the Emergency Care Delivery System of the city of Rio de Janeiro in view of recent urban and natural disasters that are happening everywhere and to support the organizer Committee of RIO 2016 Olympic Games. The goal is to discuss the effectivity of an intelligent decision support system that involves three public agencies: The Control Centre of the ambulance service, the Municipal Traffic Engineering Company and the Centre for Internal Regulation of public hospitals. The model is based upon the information flow focusing on the high complexity patients. The emergency care delivery ...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Home health-care network design: Location and configuration of home health-care centers
This article accomplishes two main objectives: (i) design a home health-care network by locating HHC centers across a territory, taking into account medical demand and costs of resources and facilities; (ii) optimally manage the activities of HHC centers by deciding on the outsourcing of critical processes for patient care. Two mixed-integer linear programs are proposed to solve these problems and propose strategic and tactical decisions. A practical case study is proposed on the Loire department (France) with various scenarios to test the robustness of the model depending on demand variation. The proposed method...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Discrete event simulation model for planning Level 2 “step-down” bed needs using NEMS
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): F. Rodrigues, G.S. Zaric, D.A. StanfordAbstractIn highly congested hospitals it may be common for patients to overstay at Intensive Care Units (ICU) due to blockages and imbalances in capacity. This is inadequate clinically, as patients occupy a service they no longer need; operationally, as it disrupts flow from upstream units; and financially as ICU beds are more expensive than ward beds. Step-down beds, also known as Level 2 beds, have become an increasingly popular and less expensive alternative to ICU beds to deal with this iss...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

A successive LP approach with C-VaR type constraints for IMRT optimization
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): Shogo Kishimoto, Makoto YamashitaAbstractIn this paper, we propose a successive linear programming (LP) approach for an intensity-modulated radiotherapy treatment (IMRT) optimization. The use of IMRT enables to control the beam intensities accurately and gives more flexibility for cancer treatment plans, but finding a feasible plan that satisfies all dose-volume constraints (DVCs) requires expensive computation cost. Romeijn et al. (2003) replaced the DVCs with C-VaR (conditional Value-at-Risk) type constraints, and successfully red...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Applying Gravity model to predict demand of public hospital beds
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): Kiok Liang Teow, Kelvin Bryan Tan, Hwee Pin Phua, Zhecheng ZhuAbstractSingapore is an urban country of about 700 km2 with a total population of 5.6 million. In 2015, Ng Teng Fong General Hospital (NTFGH) became the 7th public acute general hospital to provide multi-disciplinary acute inpatient, specialist outpatient clinic services (SOC) and a 24-hour emergency department (ED). To prepare for increasing inpatient demand resulting from aging and population growth, Singapore has planned for two more public hospitals to be ready by 201...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research

Local search heuristics for a surgical case assignment problem
Publication date: June 2018Source: Operations Research for Health Care, Volume 17Author(s): Catarina Mateus, Inês Marques, M. Eugénia CaptivoAbstractThis work is part of an ongoing project with a Portuguese public hospital, where the elective surgeries scheduling problem is studied. The administration of the hospital aims to achieve the targets set by the Portuguese Ministry of Health for surgical production and to ensure a surgical service with a high level of efficiency. However, hospitals do not have an elective surgeries scheduling system, so the surgeries are unsystematically scheduled and without respect...
Source: Operations Research for Health Care - July 10, 2018 Category: Hospital Management Source Type: research