IISE Transactions on Healthcare Systems Engineering最新文献_第4页

A noise-robust Koopman spectral analysis of an intermittent dynamics method for complex systems: a case study in pathophysiological processes of obstructive sleep apnea 复杂系统间歇动力学方法的噪声鲁棒库普曼谱分析:阻塞性睡眠呼吸暂停的病理生理过程的案例研究

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-10-28 DOI: 10.1080/24725579.2022.2141379

Phat K. Huynh, Arveity Setty, Trung Le, Trung Q Le

{"title":"A noise-robust Koopman spectral analysis of an intermittent dynamics method for complex systems: a case study in pathophysiological processes of obstructive sleep apnea","authors":"Phat K. Huynh, Arveity Setty, Trung Le, Trung Q Le","doi":"10.1080/24725579.2022.2141379","DOIUrl":"https://doi.org/10.1080/24725579.2022.2141379","url":null,"abstract":"Abstract Koopman operator theory and the Hankel alternative view of the Koopman (HAVOK) model have been widely used to investigate the chaotic dynamics in complex systems. Although the statistics of intermittent dynamics have been evaluated in the HAVOK model, they are not adequate to characterize intermittent forcing. In this paper, we propose a novel method to characterize the intermittent phases, chaotic bursts, and local spectral-temporal properties of various intermittent dynamics modes using spectral decomposition and wavelet analysis. To validate our methods, we compared the sensitivity to noise level and sampling period of the HAVOK and our proposed method in the Lorenz system. Our results show that the prediction accuracy of lobe switching and the intermittent forcing identifiability were highly sensitive to the sampling rate. While it is possible to maintain the desired accuracy in high noise-level cases with an appropriately selected rank in the HAVOK model, our proposed method is demonstrated to be more robust. To show the applicability of our proposed method, obstructive sleep apnea—a complex pathological disorder—was selected as a case study. The results show a strong association between active forcing and the hypopnea-apnea events. Our proposed method has been demonstrated to be a promising data-driven method to provide key insights into the dynamics of complex systems.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"101 - 116"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60128587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A rule-based exploratory analysis for discovery of multimodal biomarkers of ADHD using eye movement and EEG data 基于规则的探索性分析，利用眼动和脑电图数据发现ADHD的多模态生物标志物

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-09-22 DOI: 10.1080/24725579.2022.2126036

Ameer Hamza Shakur, Tianchen Sun, Jieun Kim, Shuai Huang

引用次数: 0

Impact of cognitive workload and situation awareness on clinicians’ willingness to use an artificial intelligence system in clinical practice 认知工作量和情境意识对临床医生在临床实践中使用人工智能系统意愿的影响

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-09-22 DOI: 10.1080/24725579.2022.2127035

Avishek Choudhury, Onur Asan

引用次数: 2

Infectious disease control in metapopulations with limited resources 资源有限的超人群传染病控制

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-09-10 DOI: 10.1080/24725579.2022.2115171

C. Best, A. Khademi, B. Eksioglu

{"title":"Infectious disease control in metapopulations with limited resources","authors":"C. Best, A. Khademi, B. Eksioglu","doi":"10.1080/24725579.2022.2115171","DOIUrl":"https://doi.org/10.1080/24725579.2022.2115171","url":null,"abstract":"Abstract Motivated by unique challenges faced in containing the 2014 Ebola outbreak in West Africa, we develop a framework to dynamically allocate limited resources to several possibly connected populations where the disease transmission is stochastic. We formulate this problem as a stochastic dynamic program. However, as the state and action spaces grow exponentially with the size of the problem, the standard solution techniques do not apply. We propose two solution methodologies along with several benchmark policies. The first approach considers a dynamic one-step look-ahead policy which is equivalent to a nonlinear integer knapsack that scales well with the problem size. The second approach is a modification of a myopic incidence policy found in the literature. In addition to testing the proposed policies in a simulation setting of the optimization framework, we develop a large-scale stochastic simulation for 2014 Ebola outbreak in a case study. We calibrate and validate the stochastic simulation model with real-world data from Sierra Leone. Our results provide insights on efficient prioritization and resource allocation in this setting.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"62 - 73"},"PeriodicalIF":0.0,"publicationDate":"2022-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44965999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of SHERPA technique in ophthalmic operating rooms to identify and evaluate human errors: a case study of strabismus surgery process SHERPA技术在眼科手术室中识别和评估人为错误的应用:斜视手术过程的案例研究

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-07-20 DOI: 10.1080/24725579.2022.2096155

Masoud Ghanbari kakavandi, Farzaneh Molla Bahrami, H. Ashtarian, Rohollah Fallah Madvari, Kamran Najafi

{"title":"Application of SHERPA technique in ophthalmic operating rooms to identify and evaluate human errors: a case study of strabismus surgery process","authors":"Masoud Ghanbari kakavandi, Farzaneh Molla Bahrami, H. Ashtarian, Rohollah Fallah Madvari, Kamran Najafi","doi":"10.1080/24725579.2022.2096155","DOIUrl":"https://doi.org/10.1080/24725579.2022.2096155","url":null,"abstract":"Abstract Background Eye surgeries are very sensitive to human errors that can reduce the patient's safety and cause irreparable damage. This study will show where and why human errors occur during eye surgery and minimize them. Purpose This study was conducted to demonstrate the feasibility of using a simple and practical technique for analyzing the process of eye surgeries to identify opportunities for managing human error. Methods The basis of this study is the analysis of strabismus surgery and related processes (such as patient anesthesia and postoperative recovery) using the HTA and the identification and evaluation of probable human errors in the tasks and sub-tasks using the SHERPA technique. Results The activities were divided into 83 tasks and sub-tasks. Investigations of the findings of HTA resulted in the identification of 58 probable errors. Action errors with a prevalence rate of 64% had the highest frequency, followed by checking, retrieval, and selection errors with 17%, 12%, and 7%, respectively. Based on the results, 5% of the errors were at the unacceptable risk level, 50% at undesirable risk level, 31% at acceptable risk level but with revision requirements, and 14% at acceptable risk level without the need for revision. Conclusions This study showed that the use of human reliability analysis methods in eye surgeries can have major advantages such as: identifying the areas with the highest probability of error, prioritizing error by determining the level of risk or probability of their occurrence and providing appropriate control solutions to minimize the risk of error.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"35 - 45"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60128578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times 急诊部门的路由和人员配置:具有工作负载依赖服务时间的多类别排队模型

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-07-14 DOI: 10.1080/24725579.2022.2100522

Siddhartha Nambiar, M. Mayorga, Yunan Liu

{"title":"Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times","authors":"Siddhartha Nambiar, M. Mayorga, Yunan Liu","doi":"10.1080/24725579.2022.2100522","DOIUrl":"https://doi.org/10.1080/24725579.2022.2100522","url":null,"abstract":"Abstract Efficient patient flow through an emergency department is a critical factor that contributes to a hospital’s performance, which influences overall patient health outcomes. In this work, we model a multiclass multiserver queueing system where patients of varying acuity receive care from one of several wards, each ward is attended by several nurses who work as a team. Supported by empirical evidence that a patient’s time-in-ward is a function of the nurse-patient ratio in that ward, we incorporate state-dependent service times into our model. Our objective is to reduce patient time in system and to control nurse workload by jointly optimizing patient routing and nurse allocation decisions. Due to the computational challenges in formulating and solving the queueing model representation, we study a corresponding deterministic fluid model which serves as a first-order approximation of the multiclass queueing model. Next, we formulate and solve an optimization model using the first-order control equations and input the results into a discrete-event simulation to estimate performance measures, such as patient length-of-stay and ward workload. Finally, we present a case study using retrospective data from a real hospital which highlights the importance of accounting for nurse workload and service behavior in developing routing and staffing policies.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"46 - 61"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46197666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Investigating the effectiveness of supplemental breast cancer screening tests considering radiologists’ bias 考虑到放射科医生的偏见，调查补充乳腺癌筛查试验的有效性

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-07-05 DOI: 10.1080/24725579.2022.2095466

M. Madadi, S. Molani, Donna L. Williams

{"title":"Investigating the effectiveness of supplemental breast cancer screening tests considering radiologists’ bias","authors":"M. Madadi, S. Molani, Donna L. Williams","doi":"10.1080/24725579.2022.2095466","DOIUrl":"https://doi.org/10.1080/24725579.2022.2095466","url":null,"abstract":"Abstract Breast density is known to increase breast cancer risk and decrease mammography screening sensitivity. Breast density notification laws require physicians to inform women with high breast density of these potential risks. The laws usually require healthcare providers to notify patients of the possibility of using more sensitive supplemental screening tests (i.e., ultrasound and MRI). Since the enactment of the laws, there have been controversial debates over (i) their implementations due to the potential radiologists’ bias in breast density classification of mammogram images and (ii) the necessity of supplemental screenings for all patients with high breast density. In this study, we formulate a finite-horizon, discrete-time partially observable Markov chain to investigate the effectiveness of supplemental screening and the impact of radiologists’ misclassification bias on patients’ outcomes. We consider the conditional probability of eventually detecting breast cancer in early states given that the patient develops breast cancer in her lifetime as the primary and the expected number of supplemental tests as the secondary patient’s outcome. Our results indicate that referring patients to a supplemental test solely based on their breast density may not necessarily improve their health outcomes and other risk factors need to be considered when making such referrals. Additionally, average-skilled radiologists’ performances are shown to be comparable with the performance of a perfect radiologist (i.e., 100% accuracy in breast density classification). However, a significant bias in breast density classification (i.e., consistent upgrading or downgrading of breast density classes) can negatively impact a patient’s health outcomes.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"1 - 20"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41912592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Ranking-based Weakly Supervised Learning model for telemonitoring of Parkinson’s disease 基于排名的弱监督学习模型在帕金森病远程监测中的应用

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-06-29 DOI: 10.1080/24725579.2022.2091065

Dhari F. Alenezi, Hang Shi, Jing Li

引用次数: 0

The importance of preference interactions in joint health-state utility values applied to decision analyses for shared decision-making 联合健康状态效用值中偏好相互作用的重要性应用于共同决策的决策分析

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-06-28 DOI: 10.1080/24725579.2022.2095467

E. Kujawski

{"title":"The importance of preference interactions in joint health-state utility values applied to decision analyses for shared decision-making","authors":"E. Kujawski","doi":"10.1080/24725579.2022.2095467","DOIUrl":"https://doi.org/10.1080/24725579.2022.2095467","url":null,"abstract":"Abstract The direct elicitation of health-state utility values (HSUVs) is difficult, and inconsistent HSUVs are a prevalent problem. Joint health conditions (JHCs) affect people’s quality of life in different ways. They can be preference substitutes, preference complements, or mutually utility independent. This article develops a novel model called the correlated bivariate Bernoulli health-utility (CBBHU) model, for estimating joint HSUVs (JHSUVs) from known single HSUVs and a small subset of elicited JHSUVs. A bivariate health utility function (HUF) is developed for the dependence of JHSUVs on severity. It consists of the product of the constituent single HUFs and a bivariate function with two parameters that vary with health conditions and patients’ preferences. These parameters can be fitted to as few as two severity levels and the parametrized HUF used to estimate HSUVs for different severity levels. A bootstrap method that requires a significantly reduced number of elicited HSUVs is proposed for estimating JHSUVs for three or more JHCs. The CBBHU functions satisfy the Fréchet bounds and provide internally consistent HSUVs. Preference interactions can have a substantial impact on patients’ medical decisions. CBBHU values are appropriate for shared decision-making applications. HIGHLIGHTS The CBBHU model is a novel theoretical model for estimating JHSUVs. The CBBHU model provides a practical approach to model and predict reliable JHSUVs. The JHSUVs satisfy the Fréchet inequalities, utility theory, and prospect theory. The CBBHU models JHCs that are preference complements and preference substitutes. A practical bootstrap method extends the CBBHU model to multimorbidities.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"13 1","pages":"21 - 34"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47445813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A novel mathematical optimization model for a preemptive multi-priority M/M/C queueing system of emergency department’s patients, a real case study in Iran 急诊病人优先多优先级M/M/C排队系统的一种新的数学优化模型——以伊朗为例

IISE Transactions on Healthcare Systems Engineering Pub Date : 2022-06-10 DOI: 10.1080/24725579.2022.2083730

E. Ghanbari, Sogand Soghrati Ghasbe, A. Aghsami, F. Jolai

{"title":"A novel mathematical optimization model for a preemptive multi-priority M/M/C queueing system of emergency department’s patients, a real case study in Iran","authors":"E. Ghanbari, Sogand Soghrati Ghasbe, A. Aghsami, F. Jolai","doi":"10.1080/24725579.2022.2083730","DOIUrl":"https://doi.org/10.1080/24725579.2022.2083730","url":null,"abstract":"Abstract The Covid-19 pandemic crisis has caused many difficulties worldwide. One of the most critical problems is that the emergency departments (EDs) have become overcrowded. Because this problem can increase patients’ queue length and waiting times in EDs, this paper provides a mixed-integer non-linear mathematical model considering a preemptive M/M/C queueing system to solve the problem and optimize a benefit function concerning the number of servers and treatment rate. In this model, different patient priorities, which are modified according to Covid-19 patients, are considered. This model is then solved using an exact approach and a meta-heuristic algorithm, the grasshopper optimization algorithm, for two shifts of the ED of a hospital in order to consider non stationery arrival rate in Varamin, Iran. The results of both algorithms confirmed the effectiveness of the proposed model. Moreover, to justify using the preemptive model, a comparison between the preemptive and non-preemptive models is conducted. An extensive sensitivity analysis is presented, and finally, a list of managerial insights is provided for managers to improve their service system further.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"12 1","pages":"305 - 321"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43474543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4