IIE transactions on healthcare systems engineering最新文献_第10页

Chemotherapy operations planning and scheduling 化疗手术计划和调度

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.665155

Ayten Turkcan, Bo Zeng, M. Lawley

{"title":"Chemotherapy operations planning and scheduling","authors":"Ayten Turkcan, Bo Zeng, M. Lawley","doi":"10.1080/19488300.2012.665155","DOIUrl":"https://doi.org/10.1080/19488300.2012.665155","url":null,"abstract":"Chemotherapy operations planning and scheduling in oncology clinics is a complex problem due to several factors such as the cyclic nature of chemotherapy treatment plans, the high variability in resource requirements (treatment time, nurse time, pharmacy time) and the multiple clinic resources involved. Treatment plans are made by oncologists for each patient according to existing chemotherapy protocols or clinical trials. It is important to strictly adhere to the patient’s optimal treatment plan to achieve the best health outcomes. However, it is typically difficult to attain strict adherence for every patient due to side effects of chemotherapy drugs and limited resources in the clinics. In this study, our aim is to develop operations planning and scheduling methods for chemotherapy patients with the objective of minimizing the deviation from optimal treatment plans due to limited availability of clinic resources (beds/chairs, nurses, pharmacists). Mathematical programming models are developed to solve the chemotherapy operations planning and scheduling problems. A two-stage rolling horizon approach is used to solve these problems sequentially. Real-size problems are solved to demonstrate the effectiveness of the proposed algorithms in terms of solution quality and computational times.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"2 1","pages":"31 - 49"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2012.665155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561209","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: 117

Vaccine market coordination using subsidy 利用补贴协调疫苗市场

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.666780

H. Mamani, Elodie Adida, Debabrata Dey

引用次数: 55

Optimal outpatient appointment scheduling with emergency arrivals and general service times 最佳门诊预约调度与紧急到达和一般服务时间

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.665154

P. Koeleman, G. Koole

引用次数: 57

A Monte Carlo approach to the estimation & analysis of uncertainty in clinical laboratory measurement processes 用蒙特卡罗方法估计和分析临床实验室测量过程中的不确定度

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.665153

V. Ramamohan, V. Chandrasekar, Jim Abbott, G. Klee, Yuehwern Yih

{"title":"A Monte Carlo approach to the estimation & analysis of uncertainty in clinical laboratory measurement processes","authors":"V. Ramamohan, V. Chandrasekar, Jim Abbott, G. Klee, Yuehwern Yih","doi":"10.1080/19488300.2012.665153","DOIUrl":"https://doi.org/10.1080/19488300.2012.665153","url":null,"abstract":"Clinical laboratory testing is a vital component of many stages of the medical decision making process, and therefore information about the quality of the measurement process is critical to the medical decision-making process. A statement of uncertainty of the result of a laboratory test provides this information. To obtain this information, the clinical laboratory measurement process is conceptualized as a self-contained system, the concept of process phases is introduced, and a broadly applicable algorithm describing the modeling and estimation of uncertainty of such processes is developed. The article discusses how performance specifications for individual components can be used to characterize their uncertainty, and uses Monte Carlo simulation to integrate these individual component uncertainties into a net system uncertainty. The proposed approach is illustrated by developing a mathematical model of the serum cholesterol assay analysis procedure. The uses of the model are to: 1) simulate, evaluate and optimize quality control policies without resorting to conducting controlled experiments, 2) obtain performance targets for the measurement process by using uncertainty estimates from the simulation, 3) estimate the contribution of each source of uncertainty to the net system uncertainty, and 4) study the effects of varying the parameters of the system on the net system uncertainty are illustrated with examples.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"2 1","pages":"1 - 13"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2012.665153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561070","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: 13

When to treat prostate cancer patients based on their PSA dynamics 何时治疗前列腺癌患者基于他们的PSA动态

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.666631

Mariel S. Lavieri, M. Puterman, S. Tyldesley, W. Morris

{"title":"When to treat prostate cancer patients based on their PSA dynamics","authors":"Mariel S. Lavieri, M. Puterman, S. Tyldesley, W. Morris","doi":"10.1080/19488300.2012.666631","DOIUrl":"https://doi.org/10.1080/19488300.2012.666631","url":null,"abstract":"This paper provides an innovative approach to help clinicians decide when to start radiation therapy in prostate cancer patients. The decision is based on predictions of the time when the patient's prostate specific antigen (PSA) level reaches its lowest point (nadir). These predictions are based on a log quadratic model for how the PSA level changes over time. The distribution of the time of the PSA nadir (which might be linked to maximal tumor regression) is derived from an approximation to the ratio of two correlated normal random variables. Using a dynamic Kalman filter model, the parameter estimates are updated as new patient information becomes available. Clustering is incorporated to improve prior estimates of the curve parameters. The model balances the risk of beginning radiation therapy too soon so that hormone therapy has not achieved its maximum effect vs. waiting too long to start therapy so that there is an increased risk of tumor cells becoming resistant to the treatment. A comparison of clinically implementable policies (cumulative probability policy and threshold probability policy) based on this new approach is applied to a cohort of prostate cancer patients. It shows that our approach outperforms the current protocol.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"2 1","pages":"62 - 77"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2012.666631","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561671","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: 33

Rules modification on a Fuzzy-based modular architecture for medical device design and development 基于模糊模块化体系结构的医疗器械设计与开发规则修改

IIE transactions on healthcare systems engineering Pub Date : 2012-01-01 DOI: 10.1080/19488300.2012.666630

C. Aguwa, L. Monplaisir, Prasanth A. Sylajakumari

{"title":"Rules modification on a Fuzzy-based modular architecture for medical device design and development","authors":"C. Aguwa, L. Monplaisir, Prasanth A. Sylajakumari","doi":"10.1080/19488300.2012.666630","DOIUrl":"https://doi.org/10.1080/19488300.2012.666630","url":null,"abstract":"Medical devices have a very high failure rate in their first prototype tests. According to the international testing body Intertek, out of every ten medical devices, nine fail in their first prototype tests—a 90% failure rate. In addition to the cost implication, quality is a key issue. To address this, we present an integrated, collaborative modular architecture method for medical device design and development. The methodology focuses on analyzing the input of stakeholder data from existing products and components to achieve an optimal number of modules. The objective of this research is to investigate the effect of rules modification on the final number of product modules. The methodology starts by defining a product's functional and physical decompositions. Next, product parameters are selected and prioritized using an analytical hierarchy process (AHP) to determine the medical device manufacturers’ focus area(s). Candidate modules are evaluated by acquiring stakeholder data and converting them to crisp values by applying the fuzzy-based Sugeno method. Optimal module values are then determined using a multi-optimization goal programming model. Finally, we analyse the effect of changing the number of fuzzy rules on the optimal number of modules and minimum deviation, ‘d’. A typical glucometer is used for a proof of concept. The implication of this work is the determination that the optimal number of product modules is affected by the rules changes.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"2 1","pages":"50 - 61"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2012.666630","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561416","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: 12

The use of central composite designs to improve cytotoxicity data generation: a case study 使用中心复合设计改善细胞毒性数据生成:一个案例研究

IIE transactions on healthcare systems engineering Pub Date : 2011-10-01 DOI: 10.1080/19488300.2011.631096

C. Isaza, C. Rodriguez, Lyzett Uribe, H. A. Perez, J. Salinas, M. Cabrera-Ríos

{"title":"The use of central composite designs to improve cytotoxicity data generation: a case study","authors":"C. Isaza, C. Rodriguez, Lyzett Uribe, H. A. Perez, J. Salinas, M. Cabrera-Ríos","doi":"10.1080/19488300.2011.631096","DOIUrl":"https://doi.org/10.1080/19488300.2011.631096","url":null,"abstract":"Research to find new treatments for cancer generally begins with in-vitro tests to measure the toxic effect of a proposed medical treatment on cell line cultures. In general, these tests are called cytotoxicity assays. The development of experimental protocols to conduct these tests is an attractive area for the application of experimental design techniques. This work describes the improvement of an experimental protocol for the colorimetric MTT assay, one of the most common cytotoxicity tests. The MTT assay is used in this case study to characterize the cytotoxic level of a novel immunotherapy agent on the well-known HeLa cervical cancer cell line. The original protocol related cytotoxicity to treatment concentration, treatment time and initial number of cells in the test. With the application of an experimental strategy based on the central composite design, it was possible to improve the protocol to drastically reduce the consumption of reagents and the use of laboratory time while strengthening the test conclusions.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"1 1","pages":"226 - 231"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2011.631096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561001","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

A stochastic dynamic program for the single-day surgery scheduling problem 单日手术调度问题的随机动态规划

IIE transactions on healthcare systems engineering Pub Date : 2011-10-01 DOI: 10.1080/19488300.2011.628638

W. Herring, J. Herrmann

引用次数: 20

Daily scheduling of nurses in operating suites 手术室护士的日常安排

IIE transactions on healthcare systems engineering Pub Date : 2011-10-01 DOI: 10.1080/19488300.2011.631097

Arezou Mobasher, G. Lim, J. Bard, V. Jordan

引用次数: 26

Adaptive intensity modulated radiation therapy planning optimization with changing tumor geometry and fraction size limits 改变肿瘤几何形状和分数大小限制的自适应调强放射治疗计划优化

IIE transactions on healthcare systems engineering Pub Date : 2011-10-01 DOI: 10.1080/19488300.2011.609871

Behlul Saka, R. Rardin, M. Langer, Delal Dink

{"title":"Adaptive intensity modulated radiation therapy planning optimization with changing tumor geometry and fraction size limits","authors":"Behlul Saka, R. Rardin, M. Langer, Delal Dink","doi":"10.1080/19488300.2011.609871","DOIUrl":"https://doi.org/10.1080/19488300.2011.609871","url":null,"abstract":"The modern approach of delivering radiation treatments through intensity modulated radiotherapy (IMRT) requires a computationally complex planning process. Intensities must be chosen for the many small unit grids into which the beams are divided to produce a desired distribution of dose at points throughout the body. To achieve desired aims, attention must be paid to both the cumulative doses and the doses delivered in each separate treatment session. The time horizon for the treatment allows for periodic re-imaging of the tumor geometry and for adapting the treatment plan accordingly. We present a promising iterative optimization approach that re-optimizes and updates the treatment plan periodically by incorporating the latest tumor geometry information. Two realistic lung cases simulating practice, based on anonymized archive datasets, are used to test the effectiveness of our adaptive planning approach. The computed plans both satisfy cumulative and per-session dose constraints while improving the objective (average tumor dose).","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"1 1","pages":"247 - 263"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2011.609871","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60561087","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: 12