Download or read book Discrete Event Simulation of Operating Rooms Using Data driven Modeling written by Mandvi Malik and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation has been extensively used in various studies to optimize the healthcare facility today. However, the simulation models built for the healthcare industry in the past are mostly made using a model-driven approach. The simulation models made using model-driven approach are not easy to use and modify by someone who is not familiar with simulation tools. To address this shortcoming, the focus of the present research is to create a data-driven simulation model of operating rooms. The focus is to create a simulation model that can be applied to create a simulation model of any operating room unit. For this purpose, the simulation model is built with the combination of customized objects and data-driven add-ins.

Download or read book Healthcare Service Management written by Li Tao and published by Springer. This book was released on 2019-05-08 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals. The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects: Ability to explore underlying complex relationships between observed or latent impact factors and service performance. Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance. Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals. Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance. To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients’ and hospitals’ autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions. In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if" scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems.

Download or read book Modelling Hospital Surge with Data Driven Discrete Event Simulation written by Carolyn Busby and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Many Canadian hospitals run at or near capacity, frequently experiencing congestion due to surges in demand. "Surge Protocols" that formally define when and what kind of operational steps can be taken to alleviate congestion are routinely in use. Decisions across the hospital, regarding bed capacity and allocation, staffing levels, and the surgical block schedule influence the frequency and severity of congestion, which in turn manifests in high bed occupancy, delayed admissions, a crowded Emergency Department, surgical cancellations and increased use of surge protocols. A generic, data-driven, discrete event simulation is presented that helps hospitals assess the impact of hospital wide decisions and surge policies on each area of the hospital. The model was developed in cooperation with two hospitals, and then applied at two additional hospitals.

Download or read book Handbook of Research on Discrete Event Simulation Environments Technologies and Applications written by Abu-Taieh, Evon M. O. and published by IGI Global. This book was released on 2009-10-31 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive overview of theory and practice in simulation systems focusing on major breakthroughs within the technological arena, with particular concentration on the accelerating principles, concepts and applications"--Provided by publisher.

Download or read book Developing a Data driven Approach for Improving Operating Room Scheduling Processes written by Gregory Chi-Keung Sham and published by . This book was released on 2012 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current healthcare environment, the cost of delivering patient care is an important concern for hospitals. As a result, healthcare organizations are being driven to maximize their existing resources, both in terms of infrastructure and human capital. Using a data-driven approach with analytical techniques from operations management can contribute towards this goal. More specifically, this thesis shows, drawing from a recent project at Beth Israel Deaconess Medical Center (BIDMC), that predictive modeling can be applied to operating room (OR) scheduling in order to effectively increase capacity. By examining the current usage of the existing block schedule system at BIDMC and developing a linear regression model, OR time that is expected to go unused can be instead identified in advance and freed for use. Sample model results show that it is expected to be operationally effective by capturing a large enough portion of OR time for a pooled set of blocks to be useful for advanced scheduling purposes. This analytically determined free time represents an improvement in how the current block system is employed, especially in terms of the nominal block release time. This thesis makes the argument that such a model can integrate into a scheduling system with more efficient and flexible processes, ultimately resulting in more effective usage of existing resources.

Download or read book Analytics Operations and Strategic Decision Making in the Public Sector written by Evans, Gerald William and published by IGI Global. This book was released on 2019-02-15 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.

Download or read book Modeling and Simulation of Discrete Event Systems written by Byoung Kyu Choi and published by John Wiley & Sons. This book was released on 2013-08-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms – activity-based, process-oriented, state-based, and event-based – are covered in a unified manner: A well-defined procedure for building a formal model in the form of event graph, ACD, or state graph Diverse types of modeling templates and examples that can be used as building blocks for a complex, real-life model A systematic, easy-to-follow procedure combined with sample C# codes for developing simulators in various modeling formalisms Simple tutorials as well as sample model files for using popular off-the-shelf simulators such as SIGMA®, ACE®, and Arena® Up-to-date research results as well as research issues and directions in DES-M&S Modeling and Simulation of Discrete-Event Systems is an ideal textbook for undergraduate and graduate students of simulation/industrial engineering and computer science, as well as for simulation practitioners and researchers.

Download or read book Patient Flow written by Randolph Hall and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to improving healthcare through reducing delays experienced by patients. With an interdisciplinary approach, this new edition, divided into five sections, begins by examining healthcare as an integrated system. Chapter 1 provides a hierarchical model of healthcare, rising from departments, to centers, regions and the “macro system.” A new chapter demonstrates how to use simulation to assess the interaction of system components to achieve performance goals, and Chapter 3 provides hands-on methods for developing process models to identify and remove bottlenecks, and for developing facility plans. Section 2 addresses crowding and the consequences of delay. Two new chapters (4 and 5) focus on delays in emergency departments, and Chapter 6 then examines medical outcomes that result from waits for surgeries. Section 3 concentrates on management of demand. Chapter 7 presents breakthrough strategies that use real-time monitoring systems for continuous improvement. Chapter 8 looks at the patient appointment system, particularly through the approach of advanced access. Chapter 9 concentrates on managing waiting lists for surgeries, and Chapter 10 examines triage outside of emergency departments, with a focus on allied health programs Section 4 offers analytical tools and models to support analysis of patient flows. Chapter 11 offers techniques for scheduling staff to match patterns in patient demand. Chapter 12 surveys the literature on simulation modeling, which is widely used for both healthcare design and process improvement. Chapter 13 is new and demonstrates the use of process mapping to represent a complex regional trauma system. Chapter 14 provides methods for forecasting demand for healthcare on a region-wide basis. Chapter 15 presents queueing theory as a method for modeling waits in healthcare, and Chapter 16 focuses on rapid delivery of medication in the event of a catastrophic event. Section 5 focuses on achieving change. Chapter 17 provides a diagnostic for assessing the state of a hospital and using the state assessment to select improvement strategies. Chapter 18 demonstrates the importance of optimizing care as patients transition from one care setting to the next. Chapter 19 is new and shows how to implement programs that improve patient satisfaction while also improving flow. Chapter 20 illustrates how to evaluate the overall portfolio of patient diagnostic groups to guide system changes, and Chapter 21 provides project management tools to guide the execution of patient flow projects.

Download or read book Operations Research and Simulation in Healthcare written by Malek Masmoudi and published by Springer Nature. This book was released on 2021-02-13 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents work on healthcare management and engineering using optimization and simulation methods and techniques. Specific topics covered in the contributed chapters include discrete-event simulation, patient admission scheduling, simulation-based emergency department control systems, patient transportation, cost function networks, hospital bed management, and operating theater scheduling. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Download or read book Discrete Event Modeling and Simulation Technologies written by Hessam S. Sarjoughian and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1990s the computing industry has witnessed many advances in mobile and enterprise computing. Many of these advances have been made possible by developments in the areas such as modeling, simulation, and artificial intelligence. Within the different areas of enterprise computing - such as manufacturing, health organisation, and commerce - the need for a disciplined, multifaceted, and unified approach to modeling and simulation has become essential. This new book provides a forum for scientists, academics, and professionals to present their latest research findings from the various fields: artificial intelligence, collaborative/distributed computing, modeling, and simulation.

Download or read book Integrated Simulation Model for Patient Flow Between Operating Rooms and Progressive Care Units Using Custom Objects written by Ryan L. Miller and published by . This book was released on 2020 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Process improvements in hospitals usually focus on a single department (eg. emergency department, operating theater, specialty clinic, etc). However, actions taken in one department inevitably affect the performance of other departments. Therefore, higher efficiency improvements can be obtained by considering the patient care process as one synergetic activity involving several departments and various sets of resources. In this research we propose an integrated approach for modeling the patient lifecycle for multiple departments. First we describe a patient flow from his/her entry into the hospital through a progressive care unit until the patient has fully recovered. We use process mapping methods to address value added activities and other necessary activities in the patient lifecycle. Then, a simulation model is developed in Simio using customized objects created in previous works. Those customized objects carry their own logic and behavior. For example, the Bed object includes logic for a patient recovering while using several hospital resources (nurses, therapist) in his/her hospital stay. Those objects were used to build several configurations of an integrated model with multiple departments. Data about patient arrival patterns, their health acuity, and procedure needs were obtained from a real hospital in order to test our approach. The procedures duration data (which were different for different levels of patient acuity and for different surgical and other procedures) were used to obtain service distribution using statistical analysis methods. Modular simulation objects and data distributions from real hospitals allowed us to build an integrated simulation model with several configurations of the process flow. Simulation experiments were performed on these models and performance recorded. The recommendation for implementations in the hospitals is also reported.

Download or read book Bioinformatics and Biomedical Engineering written by Ignacio Rojas and published by Springer. This book was released on 2019-04-30 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health.

Download or read book Modeling and Simulation of Discrete Event Systems written by Byoung Kyu Choi and published by John Wiley & Sons. This book was released on 2013-08-07 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms – activity-based, process-oriented, state-based, and event-based – are covered in a unified manner: A well-defined procedure for building a formal model in the form of event graph, ACD, or state graph Diverse types of modeling templates and examples that can be used as building blocks for a complex, real-life model A systematic, easy-to-follow procedure combined with sample C# codes for developing simulators in various modeling formalisms Simple tutorials as well as sample model files for using popular off-the-shelf simulators such as SIGMA®, ACE®, and Arena® Up-to-date research results as well as research issues and directions in DES-M&S Modeling and Simulation of Discrete-Event Systems is an ideal textbook for undergraduate and graduate students of simulation/industrial engineering and computer science, as well as for simulation practitioners and researchers.

Download or read book Applying Operations Research to Improve Resource Utilisation in a Cardiac Surgical Service written by Hai Ein Yong and published by . This book was released on 2006 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Ontario, waiting times for cardiac surgery have attracted attention from the public and the media because excessive waiting times might put patient's health at risk. One potential solution to reduce waiting times for surgery is to improve utilisation of operating rooms because they are often the bottleneck in surgical processes. This paper applies operations research techniques to improve utilisation of operating rooms by helping hospital managers plan operating room scheduling. A discrete-event simulation model was built to model the cardiac surgical patient flow at Hamilton Health Sciences Centre. The model was developed in an iterative manner, actively engaging stakeholders throughout the process, and it has been successfully integrated into the decision-making process. Using the model, the stakeholders found an operating room schedule and a set of operating room scheduling policies that will help them to achieve their surgical volume target with reasonable cancellation rates, using limited available resources.

Download or read book Modelling in Healthcare written by and published by American Mathematical Soc.. This book was released on 2010 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A model is a simplified representation of a real-world situation used to help answer a specific question. This book provides a look into the world of modelling with the focus on modelling in healthcare.--[from preface]

Download or read book Simulation Modeling and Analysis with ARENA written by Tayfur Altiok and published by Elsevier. This book was released on 2010-07-26 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling

Download or read book Intelligent and Transformative Production in Pandemic Times written by Chin-Yin Huang and published by Springer Nature. This book was released on 2023-02-02 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceeding of the 26th International Conference on Production Research (ICPR). ICPR is a biennial conference that has been hosted for more than a half century. It is regarded worldwide as one of the leading conferences of production research, industrial engineering, and related subjects. The acute impact of the pandemic on human lives is spurring further research and advances: because modern life relies on production and supply networks. The future of production calls for transformative research exploiting the possibilities of artificial intelligence in particular to respond to the challenge of sustainability. This book is of interest to researchers, students, and professionals in industry.