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An optimization approach to panel size management 面板尺寸管理的优化方法
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100313
William Harrington , Paul A. Rubin , Lihui Bai

We consider the panel size management problem that aims to balance workloads among providers within a health care system, where the ratio of a primary care provider’s load to their own daily full capacity is used as a measure for overload or underload. While transferring patients from their existing providers to others is the means to achieve workload balance, several practical restrictions prohibit transfer if patients have multiple chronic conditions or should there be other reasons to discourage assignment changes. We also consider patients requests for specific characteristics of providers (e.g., same gender, same geographic location). In case the current system is greatly stressed even with patient panel reassignment, we allow for hiring new providers strategically at appropriate practice groups so that load balancing is achieved for the system (with new hires) and the utilization of no provider, existing or newly hired, exceeds a threshold value. Data analysis on provider panels from a Louisville regional health care system is performed and is used in developing an integer linear program model for the problem. Three case studies based on the data for the regional health care system show that the proposed model is effective in achieving load balancing and preventing physician burnout.

我们考虑小组大小管理问题,旨在平衡医疗保健系统内提供者之间的工作量,其中初级保健提供者的负荷与他们自己的每日满负荷的比率被用作过载或欠负荷的衡量标准。虽然将患者从现有提供者转移到其他提供者是实现工作量平衡的手段,但如果患者患有多种慢性疾病或有其他原因不鼓励分配变化,则有一些实际限制禁止转移。我们还考虑患者对提供者的特定特征的要求(例如,相同的性别,相同的地理位置)。如果当前系统的压力很大,即使患者小组重新分配,我们允许在适当的实践组中战略性地雇用新的提供者,以便实现系统的负载平衡(新雇员),并且现有或新雇用的任何提供者的利用率都不超过阈值。对来自路易斯维尔地区卫生保健系统的供应商面板进行数据分析,并用于开发该问题的整数线性规划模型。基于区域卫生保健系统数据的三个案例研究表明,所提出的模型在实现负载平衡和预防医生职业倦怠方面是有效的。
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引用次数: 0
Modelling the association between weather and short-term demand for children’s intensive care transport services during winter in the South East of England 模拟天气与英格兰东南部冬季儿童重症监护运输服务短期需求之间的关系
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100327
Samuel Livingstone , Christina Pagel , Zejing Shao , Elise Randle , Padmanabhan Ramnarayan

Data from a paediatric intensive care transport service based in the South East of England between 2006 and 2018 are studied using generalised additive models to investigate the effects of extreme weather on demand in winter. Noticeable increases in daily demand for the service are uncovered after periods of extreme weather, and can be partitioned into two characteristically different phenomena, most pronounced at 2 days and 7 days after a period of particularly low temperature combined with either high or low humidity. The effect is more visible when virus prevalence is accounted for, showing that demand can increase by as much as 30% 7 days after a period of low temperature and low humidity, and 20% 2 days after a period of low temperature and high humidity.

研究人员使用广义加法模型研究了2006年至2018年期间英格兰东南部儿科重症监护运输服务的数据,以调查极端天气对冬季需求的影响。在极端天气过后,每日的服务需求会明显增加,并可分为两种不同的现象,最明显的是在气温特别低且湿度过高或过低的一段时间后的第2天和第7天。当考虑到病毒流行时,效果更为明显,表明在一段低温低湿期后7天需求可增加30%,在一段低温高湿期后2天需求可增加20%。
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引用次数: 0
A simulation–optimization approach for measuring emergency department resilience in times of crisis 危机时刻衡量急诊科应变能力的模拟优化方法
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100326
Sorour Farahi, Khodakaram Salimifard

Crisis occurrence in the healthcare context is, for different reasons, a phenomenon that happens abundantly. The priority of the healthcare system during a crisis is to provide quality care and superior services to the injured people. However, given the usually extreme severity of the crisis that results in a significant number of injured people, proper and timely responsiveness of healthcare systems is a challenging issue This study proposes a novel framework using a hybrid simulation–optimization approach to measure the healthcare responsiveness in crisis to address this real-world problem. This paper closely connects operations research techniques to critical systems thinking notions to evaluate the behavior of a system in the face of crisis. Since all arriving casualties to the hospital are first taken to the emergency department (ED), the ED in a case study is used to illustrate the performance of the presented approach. We designed seven crisis scenarios and one scenario of the ED system in a normal situation and modeled them using discrete-event simulation (DES). Patients’ interarrival times act as the driver of workload experienced in ED during crisis scenarios of varying severity. For crisis simulation scenarios that are unable to cope with the severity of the crisis, we developed an optimization model in an optimization tool to determine the optimal configuration of resources. The optimal configuration can improve healthcare resilience. The results show that an interarrival time of 13.8 min is the maximum threshold, below which feasible solutions could not be found, and the ED system is likely to collapse.

由于不同的原因,医疗保健环境中的危机发生是一种经常发生的现象。在危机期间,医疗保健系统的首要任务是为伤者提供高质量的护理和优质的服务。然而,鉴于危机通常极其严重,导致大量人员受伤,医疗保健系统的适当和及时响应是一个具有挑战性的问题。本研究提出了一个新的框架,使用混合模拟优化方法来衡量危机中的医疗保健响应能力,以解决这一现实世界的问题。本文将运筹学技术与批判性系统思维概念紧密联系起来,以评估系统在面对危机时的行为。由于所有到达医院的伤员都首先被送往急诊科(ED),因此在一个案例研究中使用急诊科来说明所提出方法的性能。我们设计了7个危机场景和1个ED系统在正常情况下的场景,并使用离散事件模拟(DES)对它们进行了建模。在不同严重程度的危机情景中,患者的到达时间是急诊科工作量的驱动因素。对于无法应对危机严重性的危机模拟场景,我们在优化工具中开发了优化模型,以确定资源的最优配置。最佳配置可以提高医疗保健弹性。结果表明,到达间隔时间为13.8 min是最大阈值,低于该阈值无法找到可行的解决方案,ED系统可能会崩溃。
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引用次数: 4
Operating room planning and scheduling for outpatients and inpatients: A review and future research 门诊病人和住院病人的手术室规划与调度:回顾与未来研究
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100323
Lien Wang , Erik Demeulemeester , Nancy Vansteenkiste , Frank E. Rademakers

In hospitals, surgeries are treated either on an outpatient or on an inpatient basis. Outpatients are normally routine patients that enter and leave the hospital on the same day, while inpatients who need more complex surgeries have to stay overnight. More recently, a shift from inpatient surgery to outpatient surgery is occurring due to scientific progress in anaesthesia and surgical techniques. Identifying possible similarities and differences between outpatient surgery scheduling and inpatient surgery scheduling can serve as a valuable decision-making foundation for practitioners and for operations researchers to efficiently schedule patients for surgery in the surgical department. This paper provides the first literature review on comparing outpatient surgery scheduling with inpatient surgery scheduling. The literature published between 2000 and 2020 that explicitly mentions either scheduling setting is included and it is analyzed from three dimensions, i.e., the uncertainty incorporation, the research methodology, and a scheduling performance comparison between both settings. We find that outpatient surgery can observe better results in many of the performance measures (i.e., operating room utilization, overtime, and patient cancellation rate) as opposed to inpatient surgery. This is due to the fact that inpatient surgery duration is longer and more variable and to the presence of more emergency patients, although there is a higher likelihood of no-shows for outpatients. Moreover, we identify future research directions that provide opportunities for expanding existing methodologies and especially for narrowing the gap between theory and practice.

在医院,手术要么在门诊进行,要么在住院进行。门诊病人通常是同一天入院和出院的常规病人,而需要更复杂手术的住院病人则必须过夜。最近,由于麻醉和外科技术的科学进步,从住院手术到门诊手术的转变正在发生。识别门诊手术安排与住院手术安排之间可能存在的异同,可以为外科医生和手术研究者有效安排患者手术提供有价值的决策基础。本文首次对门诊手术安排与住院手术安排的比较进行文献综述。纳入2000年至2020年间发表的明确提及任何一种调度设置的文献,并从不确定性纳入、研究方法和两种调度设置之间的调度性能比较三个维度进行分析。我们发现,与住院手术相比,门诊手术在许多绩效指标(即手术室利用率、加班时间和病人取消率)上都能观察到更好的结果。这是由于住院病人的手术时间更长,变化更大,而且急诊病人更多,尽管门诊病人不来的可能性更高。此外,我们确定了未来的研究方向,为扩展现有方法,特别是缩小理论与实践之间的差距提供了机会。
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引用次数: 7
A survey of OR/MS models on care planning for frail and elderly patients 老年体弱患者护理计划的OR/MS模型调查
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100325
Elizabeth Williams, Daniel Gartner, Paul Harper

Context

With an ageing population, there is an increased demand on public health services and on long-term-care facilities. It is not uncommon for frail and elderly patients to spend longer in hospital or require more support within the community, often due to multi-morbidities. Many health services are faced with the complex problem as to how to administer the best care for the frail and elderly whilst best managing limited health resources.

Objective

This paper focuses on the literature concerning frail and elderly patient pathways within both hospital and community care settings with the use of Operations Research and Management Science (OR/MS) methods. To cover a wide range of specialities, the following additional subject areas have been included: Geriatrics and Gerontology, Health Policy and Services, Industrial Engineering, and Medical Informatics, to synthesise the work on modelling the application of care for frail and elderly patients. This review paper also analyses trends in the research literature and identifies gaps for future study.

Methods

A set of criteria has been established in which a systematic search was performed against to identify literature from 2000 to 2020. In total 62 publications were identified as applicable and were categorised methodologically and analysed. Common features of the papers including hospital setting, research aims and planning decisions have been identified and discussed.

Results

The results from the analysis reveal that this field of study is increasing with over 47% of papers having been published since 2015. The main findings suggest three areas of future research. Firstly, focus should be on modelling pathways holistically, with collaboration from both hospitals and community care settings. Secondly, work should be conducted on patient outcomes of these modelled pathways to highlight the increase in quality of care. Thirdly, there is potential for a wider variety of OR/MS methods to be utilised across the whole pathway. These three areas will reduce pressure on health services which are currently facing rising demands with limited resources.

背景随着人口老龄化,对公共卫生服务和长期护理设施的需求增加。体弱多病和老年患者住院时间更长或需要更多社区支持的情况并不罕见,这通常是由于多重发病所致。许多卫生服务机构都面临着如何在对有限的卫生资源进行最佳管理的同时为体弱多病者和老年人提供最佳护理的复杂问题。目的:本论文主要关注在医院和社区护理环境中使用运筹学和管理科学(OR/MS)方法的有关体弱和老年患者路径的文献。为了涵盖广泛的专业,新增了以下学科领域:老年病学和老年学、卫生政策和服务、工业工程和医学信息学,以综合对体弱和老年病人护理应用的建模工作。本文还分析了研究文献的趋势,并确定了未来研究的差距。方法建立了一套标准,对2000年至2020年的文献进行系统检索。共有62份出版物被确定为适用的,并进行了方法分类和分析。论文的共同特点包括医院设置,研究目标和规划决策已经确定和讨论。分析结果显示,这一研究领域正在增加,2015年以来发表的论文超过47%。主要研究结果表明了未来研究的三个领域。首先,在医院和社区护理机构的合作下,重点应放在全面建模途径上。其次,应该对这些模拟途径的患者结果进行研究,以突出护理质量的提高。第三,有可能在整个途径中使用更广泛的OR/MS方法。这三个领域将减轻保健服务的压力,这些服务目前面临着资源有限而需求不断增加的问题。
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引用次数: 5
Investigating cascading events for emergency departments in Baltimore City using a two-state Markov model 使用两态马尔可夫模型调查巴尔的摩市急诊部门的级联事件
IF 2.1 Q1 Health Professions Pub Date : 2021-12-01 DOI: 10.1016/j.orhc.2021.100324
Xu Zhang , Bruce Golden , Edward Wasil , Laura Pimentel , Jon Mark Hirshon

The event of high emergency department (ED) utilization or inaccessibility to the ED may result in hospital after hospital in a city not accepting new patients in need of urgent medical care. We call this a cascading event. In this paper, we investigate cascading events among 11 EDs in Baltimore City in 2018 and 2019 using a two-state Markov model. Additionally, the transition probabilities are used to monitor the evolution of cascading events. Meanwhile, we predict the expected remaining hours in each state. After we calculate and compare the probabilities of having a cascading event for each ED, we finally identify the similarity and heterogeneity among EDs using cluster analysis. The findings of our study reveal that the continuous yellow alerts at Johns Hopkins Hospital, Johns Hopkins Bayview Medical Center (JH Bayview), Sinai Hospital, and the University of Maryland Medical Center (UMMC) are associated with a large chance of having a cascading event in the city that affects all 11 hospitals. Weekdays dramatically increased chances of having a cascading event.

急诊科(ED)使用率过高或无法进入急诊科可能会导致一个城市的一家又一家医院不接受需要紧急医疗护理的新患者。我们称之为级联事件。在本文中,我们使用双状态马尔可夫模型研究了2018年和2019年巴尔的摩市11个ed之间的级联事件。此外,利用转移概率来监测级联事件的演变。同时,我们预测每个州的预期剩余时间。在计算和比较了每个ED发生级联事件的概率之后,我们最终使用聚类分析确定了ED之间的相似性和异质性。我们的研究结果表明,约翰霍普金斯医院、约翰霍普金斯湾景医疗中心(JH Bayview)、西奈医院和马里兰大学医学中心(UMMC)的持续黄色警报与城市发生连锁事件的可能性很大,影响到所有11家医院。工作日大大增加了发生连锁事件的可能性。
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引用次数: 0
Controllable and non-controllable factors to measure performance in primary care practices under Medicare alternative payment models 在医疗保险替代支付模式下衡量初级保健实践绩效的可控和不可控因素
IF 2.1 Q1 Health Professions Pub Date : 2021-09-01 DOI: 10.1016/j.orhc.2021.100312
Jennifer Mendoza-Alonzo , José Zayas-Castro , Armin Lüer-Villagra

We analyze the two recent Medicare alternative payment models, the comprehensive primary care plus (CPC+) and the primary care first (PCF). Both models comprise fee-for-service, traditional capitation, and pay-for-performance (P4P) components. The main objective of these reimbursement models is to advance toward value-based care. However, the models confer some hesitations since the P4P component is based on factors not entirely controlled by the practice, increasing the potential admission of healthier patients and affecting the profit of small primary care practices. We have modified the P4P component in both models to include a non-controllable agent (the hierarchical condition category score) and a controllable factor (the Bice–Boxerman continuity of care index) through a probabilistic classification model to predict hospital admissions. This study aims to determine the impact of adjusting the P4P component, in the CPC+ and PCF reimbursement models, on the profit per team, revenue for performance per team, and severity of admitted patients. We develop a mixed-integer programming formulation and analyze, using a 2k factorial design, the reimbursement models and the main elements of their adjusted P4P components (i.e., the probabilistic classification model coefficients and hospital admission threshold). The results indicate that the coefficients of the probabilistic classification model and the hospital admission threshold have a significant effect on the profit and revenue for performance per team. There is also a tendency of the PCF to admit less severe patients than the CPC+. Yet, the effects are more notable in the PCF payment model because the proportion of P4P in the total revenue under the CPC+ is minimal (16.5% versus <1%). Similarly, the PCF’s downside is its sensitivity to P4P changes, displaying high variability in the output variables under analysis.

我们分析了两种最近的医疗保险替代支付模式,综合初级保健加(CPC+)和初级保健优先(PCF)。这两种模式都包含按服务收费、传统资本化和按性能付费(P4P)组件。这些报销模式的主要目标是推进以价值为基础的护理。然而,由于P4P组成部分是基于不完全由实践控制的因素,增加了更健康患者的潜在入院率,并影响了小型初级保健实践的利润,因此这些模型带来了一些犹豫。我们修改了两个模型中的P4P分量,通过概率分类模型包括一个不可控制因子(分层条件类别得分)和一个可控因子(Bice-Boxerman护理连续性指数)来预测住院情况。本研究旨在确定调整CPC+和PCF报销模式中P4P部分对每个团队利润、每个团队绩效收入和住院患者严重程度的影响。我们开发了一个混合整数规划公式,并使用2k析因设计分析了报销模型及其调整后的P4P分量的主要元素(即概率分类模型系数和住院阈值)。结果表明,概率分类模型的系数和入院门槛对团队绩效的利润和收入有显著影响。与CPC+相比,PCF接收的重症患者也有减少的趋势。然而,这种影响在PCF支付模式中更为显著,因为在CPC+模式下,P4P占总收入的比例很小(16.5% vs . 1%)。同样,PCF的缺点是它对P4P变化的敏感性,在分析的输出变量中显示出很高的可变性。
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引用次数: 1
Modelling the effect of first-wave COVID-19 on mental health services 模拟第一波COVID-19对精神卫生服务的影响
IF 2.1 Q1 Health Professions Pub Date : 2021-09-01 DOI: 10.1016/j.orhc.2021.100311
B.J. Murch , J.A. Cooper , T.J. Hodgett , E.L. Gara , J.S. Walker , R.M. Wood

During the first wave of the COVID-19 pandemic it emerged that the nature and magnitude of demand for mental health services was changing. Considerable increases were expected to follow initial lulls as treatment was sought for new and existing conditions following relaxation of ‘lockdown’ measures. For this to be managed by the various services that constitute a mental health system, it would be necessary to complement such projections with assessments of capacity, in order to understand the propagation of demand and the value of any consequent mitigations. This paper provides an account of exploratory modelling undertaken within a major UK healthcare system during the first wave of the pandemic, when actionable insights were in short supply and decisions were made under much uncertainty. In understanding the impact on post-lockdown operational performance, the objective was to evaluate the efficacy of two considered interventions against a baseline ‘do nothing’ scenario. In doing so, a versatile and purpose-built discrete time simulation model was developed, calibrated and used by a multi-disciplinary project working group. The solution, representing a multi-node, multi-server queueing network with reneging, is implemented in open-source software and is freely and publicly available.

在COVID-19大流行的第一波期间,人们发现精神卫生服务需求的性质和规模正在发生变化。在放松“封锁”措施后,由于寻求治疗新的和现有的疾病,预计在最初的平静之后会有相当大的增长。为了让构成心理健康系统的各种服务来管理这一点,有必要用能力评估来补充这种预测,以便了解需求的传播以及随之而来的缓解措施的价值。本文提供了在大流行的第一波期间在英国主要医疗保健系统内进行的探索性建模的说明,当时可操作的见解供不应求,并且在很大的不确定性下做出了决定。为了了解封锁后对运营绩效的影响,我们的目标是在“什么都不做”的基线情况下,评估两种考虑的干预措施的有效性。在此过程中,一个多学科项目工作组开发、校准并使用了一个通用的、专门构建的离散时间模拟模型。该解决方案,代表了一个多节点,多服务器排队网络与违约,是在开源软件中实现的,是免费和公开的。
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引用次数: 5
Special Issue on Healthcare Analytics 医疗保健分析特刊
IF 2.1 Q1 Health Professions Pub Date : 2021-09-01 DOI: 10.1016/j.orhc.2021.100309
Christina Büsing, Sebastian Rachuba, Clemens Thielen
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引用次数: 0
Hospital flood emergency management planning using Markov models and discrete-event simulation 基于马尔可夫模型和离散事件模拟的医院洪水应急管理规划
IF 2.1 Q1 Health Professions Pub Date : 2021-09-01 DOI: 10.1016/j.orhc.2021.100310
Afafe Zehrouni , Vincent Augusto , Thierry Garaix , Raksmey Phan , Xiaolan Xie , Sophie Denis , Michel Gentile

Disasters such as major floods affect all part of the globe. Hospital and healthcare structures are critical resources during such event and do not always benefit of emergency preparedness. When hospitals are impacted by the disaster, it puts a strain on the system and a reorganization of all available hospitals on a given territory is necessary. As part of case study applied to the impact of floods on the Île-De-France region’s health system, we present in this paper a simulation model that evaluates healthcare emergency plan by combining the healthcare process with the flood dynamics. The results can be used to elaborate an optimized strategy for evacuation and transfer operations. We provide a case study including several medical specialties and quantify the impact of several flood scenarios on the healthcare system.

大洪水等灾害影响全球各地。在这类事件中,医院和保健机构是关键资源,但并非总能从应急准备中受益。当医院受到灾难的影响时,它会给系统带来压力,因此有必要对特定地区的所有现有医院进行重组。作为洪水对Île-De-France地区卫生系统影响的案例研究的一部分,我们提出了一个将卫生保健过程与洪水动力学相结合来评估卫生保健应急计划的模拟模型。研究结果可用于制定疏散和转移操作的优化策略。我们提供了一个包括几个医学专业的案例研究,并量化了几个洪水场景对医疗保健系统的影响。
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引用次数: 3
期刊
Operations Research for Health Care
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