Three Essays On Data Driven Models In Health Care Operations Management

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Three Essays on Data-driven Models in Health Care Operations Management

Author : Cheng Zhu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Three Essays on Data-driven Models in Health Care Operations Management by : Cheng Zhu

Download or read book Three Essays on Data-driven Models in Health Care Operations Management written by Cheng Zhu and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Though 20th century has seen life expectancy largely lengthened worldwide, aging population, chronic diseases, worsening food supply with deficit nutrition and environmental problems add to the burden of healthcare systems all around the world. Data analytics, which has been seen as a significant power in other industries, is expected to contribute to the improvement of efficiency and effectiveness in healthcare. This thesis aims to identify and promote more effective and efficient strategic, operations and clinical policies in healthcare systems through descriptive, predictive and prescriptive analytics. To this end, this thesis focuses on three essays, i.e. three data-driven problems based on medium to large size of real life datasets, on: i) design of financial incentive systems for maternity care; ii) design of specialist response policies and modified triage coding to reduce waiting times in emergency departments (EDs), and iii) design of observation units for hearth failure patients. The first essay focuses on strategic level and aims to design a two-level financial incentive mechanisms to reimburse physicians, in order to reduce unnecessary C-sections while retain it for those who need it, resulting in enhanced birth quality with alleviated economic burden for overall health care system. Contributing to clinical decision-making, we first cluster the patients according to their pregnancy complexities, and characterize a threshold between spontaneous birth and medically necessary planned C-section by analyzing 12.7 million annual birth records from National Bureau of Economics Research through statistical learning methods. Then we compare payment systems analytically vis-\'{a}-vis a variety of performance measures within two-level hierarchy, (i) mainstream payment models and (ii) compensation on the top of mainstream payment, and provide insights about the effectiveness of alternative payment models in the context of maternity care. Finally, we propose optimal payment for physicians to maximize the value for patients under the principal and agent framework, from the strategic perspective.The second paper focuses on operational level and targets to reduce the length of stay in EDs by designing a systematic response policy for various specialists depending on ED clinical demands. This work is motivated by and verified with 40,000 ED visits to a local community hospital in Montreal. We first identify a class of patients who are more likely to require specialist consultation based on their clinical information available at the triage stage through statistical analysis. Then we analyze several alternative policies for specialists' response to consultation requests using queuing models with non-homogeneous Poisson arrival rates. Moreover, we examine an integrated ED decision-making by incorporating specialist consultation requests in the triage system. Finally, our proposed optimal specialist response policy and associated modified triage coding are verified through a comprehensive simulation model. We provide a feasible guideline of integrated patient streamlining to shorten length of stay and alleviate overcrowding in ED. The third paper focuses on clinical level and propose a framework to design a dedicated observation unit for acute decomposition heart failure patients, in order to provide proper treatment and reduce unnecessary hospitalization and chance of post-discharge events. To this end, we, first, use multiple analytical models to figure out the proper number of bed for this observation unit based on historical patient arrival data from a local community hospital. Based on the confined range of analytical capacity, we use simulation models to analyze different discharge and admission policies. We propose an optimal discharge-admission criteria for this dedicated observation unit to realize cost-saving and quality enhancement of treating acute decomposition heart failure patients." --

Three Essays in Healthcare Operations Management

Author : Sarang Deo
Publisher :
ISBN 13 :
Total Pages : 276 pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Three Essays in Healthcare Operations Management by : Sarang Deo

Download or read book Three Essays in Healthcare Operations Management written by Sarang Deo and published by . This book was released on 2007 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven Quality Improvement and Sustainability in Health Care

Author : Patricia L. Thomas, PhD, RN, FAAN, FNAP, FACHE, NEA-BC, ACNS-BC, CNL
Publisher : Springer Publishing Company
ISBN 13 : 0826139442
Total Pages : 314 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Data-Driven Quality Improvement and Sustainability in Health Care by : Patricia L. Thomas, PhD, RN, FAAN, FNAP, FACHE, NEA-BC, ACNS-BC, CNL

Download or read book Data-Driven Quality Improvement and Sustainability in Health Care written by Patricia L. Thomas, PhD, RN, FAAN, FNAP, FACHE, NEA-BC, ACNS-BC, CNL and published by Springer Publishing Company. This book was released on 2020-11-19 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach provides nurse leaders and healthcare administrators of all disciplines with a solid understanding of data and how to leverage data to improve outcomes, fuel innovation, and achieve sustained results. It sets the stage by examining the current state of the healthcare landscape; new imperatives to meet policy, regulatory, and consumer demands; and the role of data in administrative and clinical decision-making. It helps the professional identify the methods and tools that support thoughtful and thorough data analysis and offers practical application of data-driven processes that determine performance in healthcare operations, value- and performance-based contracts, and risk contracts. Misuse or inconsistent use of data leads to ineffective and errant decision-making. This text highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls. In addition, chapters feature key points, reflection questions, and real-life interprofessional case exemplars to help the professional draw distinctions and apply principles to their own practice. Key Features: Provides nurse leaders and other healthcare administrators with an understanding of the role of data in the current healthcare landscape and how to leverage data to drive innovative and sustainable change Offers frameworks, methodology, and tools to support quality improvement measures Demonstrates the application of data and how it shapes quality and safety initiatives through real-life case exemplars Highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls

Interdisciplinary Research in Operations Management

Author : Jiaru Bai
Publisher :
ISBN 13 : 9780355307061
Total Pages : 152 pages
Book Rating : 4.3/5 (7 download)

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Book Synopsis Interdisciplinary Research in Operations Management by : Jiaru Bai

Download or read book Interdisciplinary Research in Operations Management written by Jiaru Bai and published by . This book was released on 2017 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of three essays on applications of interdisciplinary research in operations management. The first essay addresses issues in healthcare. Our goal is to evaluate the cost-effectiveness of bevacizumab compared to the baseline treatment with only chemotherapy in recurrent/persistent and metastatic cervical cancer using recently reported updated survival and toxicology data. We developed a Markov model with 5 patient health states for both treatments. With data based on the Gynecologic Oncology Group 240 randomized trials and the 2013 MediCare Services Drug Payment Table and Physician Fee Schedule, we present monthly transition probabilities and cost data. Our results show that chemotherapy plus bevacizumab can delay progression, but incur more complications.The second essay lies at the interface between operations management and marketing. We aim to understand the tradeoffs in offering outlet stores. In particular, we study how much differentiation should be kept between the main and outlet stores from three perspectives: price, product and location. We find that an outlet store is more likely to be opened when travel sensitivity is lower or costs associated with it are lower. Moreover, offering an outlet store encourages the rm to improve the quality of the product sold in the main store as to reduce the cannibalization effect. We also observe that location differentiation has a substitution effect on quality and price differentiation.In the third essay, we study several operational challenges for the on-demand service platforms. We consider a situation when an on-demand service platform uses earning sensitive independent providers with heterogeneous reservation prices to serve its time and price sensitive customers with heterogeneous valuation of the service. We present a queueing model with endogenous supply and endogenous demand to model this on-demand service platform. Based on our analysis, we find that it is optimal for the platform to charge a higher price, pay a higher wage, and offer a higher payout ratio when the potential customer demand increases. We use a set of actual data from a large on-demand ride-hailing platform in numerical experiments to illustrate some of our main insights.

Data Driven Approaches for Healthcare

Author : Chengliang Yang
Publisher : CRC Press
ISBN 13 : 1000701255
Total Pages : 101 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Data Driven Approaches for Healthcare by : Chengliang Yang

Download or read book Data Driven Approaches for Healthcare written by Chengliang Yang and published by CRC Press. This book was released on 2019-10-01 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem. Key Features: Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers Presents descriptive data driven methods for the high utilizer population Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and demographic characteristics

Data-driven Analytics for Clinical Decision Making, Healthcare Operations Management and Public Health Policy

Author : Michael Charles Zinzan Fairley
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (123 download)

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Book Synopsis Data-driven Analytics for Clinical Decision Making, Healthcare Operations Management and Public Health Policy by : Michael Charles Zinzan Fairley

Download or read book Data-driven Analytics for Clinical Decision Making, Healthcare Operations Management and Public Health Policy written by Michael Charles Zinzan Fairley and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care costs in the United States exceed $3.5 trillion annually, with between $760 billion and $935 billion considered waste. Data-driven analytics could reduce costs and provide higher quality care to patients by more efficiently allocating limited resources, just as analytics has done in other industries such as logistics, manufacturing and aviation. In this dissertation, I demonstrate three levels at which analytics provide value in health: clinical decision making, healthcare operations management and public health policy. Clinical decision making refers to decisions at the individual patient level: for example, determining which treatment to provide a patient or predicting an individual's risk of disease. Healthcare operations management refers to decisions about the system that delivers care to patients: for example, determining how to organize patient flow through a hospital or schedule procedures. Finally, public health policy refers to decisions about the overall health of a population: for example, determining how to control an infectious disease or distribute limited resources across different diseases.

Three Essays on Innovations in Healthcare Information Technology

Author : Fang Wan (Business researcher)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Three Essays on Innovations in Healthcare Information Technology by : Fang Wan (Business researcher)

Download or read book Three Essays on Innovations in Healthcare Information Technology written by Fang Wan (Business researcher) and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis contains three essays on innovations in healthcare information technology (IT). The first essay examines the impact of health information exchange (HIE) on the service quality of long-term care (LTC) facilities based on a five-year (2013-2017) panel data set of the U.S. LTC facilities. Our results show that the readmission rate of an LTC facility with an operational HIE is reduced by 2% on average as compared to the rate of a facility without an operational HIE. We also find that EHR or Telemedicine do not report significant performance enhancement with the combination of HIE on reducing readmission rate since LTC facilities do not use EHR and Telemedicine to their full potential. Our findings empirically demonstrate the importance of promoting effective data exchange in LTC facilities as well as improving the rudimentary use of EHR and Telemedicine to increase the value that HIE can create. The second essay analyzes artificial intelligence (AI) patents in healthcare IT granted by the U.S. Patent and Trademark Office (USPTO). We use network analysis to examine co-patenting collaborations among organizations and analyze technological knowledge inflows and outflows in inter-organizational citation networks. The radical factors of patents are also identified to evaluate the level of the patent impact in the AI research of health IT. Our findings provide managers with actionable guidance on how they should adjust their innovation management plan with respect to AI innovation types. The third essay investigates the impact of effort cost on implementing advanced IT on an on-demand platform with heterogeneous service options. A principal-agent model is developed to find the optimal service policy of both the agent and the principal in the context of healthcare system. We also show that the incentive misalignment issue between the principal and the agent can be solved by offering extra compensation for the less preferred service type of the agent, which in turn affects the agent's strategy and the principal's rewards."--Pages ix-x.

Essays in Healthcare Modeling and Analytics

Author : Deepak Agrawal
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (1 download)

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Book Synopsis Essays in Healthcare Modeling and Analytics by : Deepak Agrawal

Download or read book Essays in Healthcare Modeling and Analytics written by Deepak Agrawal and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In spite of increasing costs the quality of care in the US is decreasing therefore, thePresidents Council of Advisors on Science and Technology (PCAST) report on healthcarein 2014 emphasized the need for applying systems engineering principles and analytics tohealthcare operations improvement. This along with the availability of increasing amountof healthcare data has created a renewed interest in researchers to develop efficient andpractical healthcare decision support systems. To that end, in this dissertation we studythree important, related, and yet independent, healthcare research problems are studiedwith two viewpoints data analytics based and operations research (OR) based techniquesin healthcare. In this research, our objective is to develop, validate and integrate thedata-driven predictive models into the hospital workflow and provide decision makingsupport for medical professionals. It is our hope this research can help generate solutionsto these problems, improving the efficiency of hospital operations, patient outcomes, andpatient and staff satisfaction.The three issues addressed in this dissertation are: (1) patients return to hospitalwithin 72 hours after discharge from being an inpatient (e.g., surgical) due to adverseevents, (2) developing a provider scheduling system for outpatient clinic at a multi-clinicfacility, and (3) developing a preference based scheduling model for a healthcare providernetwork (HPN).In the first problem we develop a stacked classification model to predict short-termand long-term readmission, emergency department revisits and deaths (REDD) alongwith identifying the important factors contributing to adverse events. We proposeda stacked classification model with level one training models using logistic regression,random forest and gradient boosting method. The second level learning model was anon-negative least square method. The final outcome is a linear combination of thepredictions from the three learning models. The short-term (3-day) model had a fairc-statistic of 0.671 and 0.664 for the derivation and validation cohort, respectively. Thec-statistic of long-term (30-day) REDD model was 0.713 and 0.711 for the derivationand validation cohort, respectively. These models were implemented at Geisinger HealthSystem and are under pilot study. In the second problem, we propose a multi-objective provider scheduling modelunder demand and capacity uncertainty and patient no-shows. Though the problem isformulated as a mixed integer programming (MIP), the network structure of the problemsimplifies the computational complexity of the problem.Resource flexibility is an important criterion for any scheduling model to be practical.In the final research problem, the appointment scheduling with multiple clinic locations,multiple physicians is proposed as a network model, which gives it the necessary flexibilityto dynamically assign providers to patients in real time but also to be rigid enough so thatit can be implemented months in advance. In addition to that, we consider multi-prioritypatients with heterogeneous preference in our model. We develop theoretical boundsfor the best achievable policy as well propose a heuristic approach to solve the dynamicproblem. Using extensive numerical experiments we show the proposed scheduling policiescan outperform the current scheduling practices. Finally, to make the model closer toreality we propose two extensions to the model. In the first extension, the demand followsdoubly stochastic Poisson process. We also show that the proposed dynamic policy isrobust under the assumption of a doubly stochastic assumption. In the second extension,we propose joint capacity planning and appointment scheduling problem, which can beformulated as a mixed-integer nonlinear programming (MINLP).iv.

New Perspectives in Operations Research and Management Science

Author : Y. Ilker Topcu
Publisher : Springer Nature
ISBN 13 : 3030918513
Total Pages : 606 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis New Perspectives in Operations Research and Management Science by : Y. Ilker Topcu

Download or read book New Perspectives in Operations Research and Management Science written by Y. Ilker Topcu and published by Springer Nature. This book was released on 2022-06-24 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative operations research applications in business, specifically industrial engineering and its sub-disciplines. It investigates new perspectives in operations research and management science with regard to research methods, the research context, and industrial engineering, offering readers a broad range of new approaches to management problems. The book features the latest work of researchers who have worked with Professor Fusun Ulengin or built upon her work in their academic careers. Written in honor of Prof. Ulengin, this book was edited by her former Ph.D. students, who are now experts in operations research, multiple criteria decision making, competitiveness, logistics, and supply chain management. Prof. Ulengin’s impact in academia is visible in the range of topics and methodologies featured in this book: Location and transportation problems, competitiveness of nations, food supply chains, debt collection, mathematical modelling, multiple criteria decision making, data envelopment analysis, random forests, and Bayesian networks.

Models in Hospital Operations Management and Consumer Choice in Health Care

Author : Su Xie
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (91 download)

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Book Synopsis Models in Hospital Operations Management and Consumer Choice in Health Care by : Su Xie

Download or read book Models in Hospital Operations Management and Consumer Choice in Health Care written by Su Xie and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of this dissertation is the development of data-driven methods and tools which may be used to aid policy makers and consumers in key healthcare decisions. Two specific problems are studied: one problem is in the hospital operations management, the other one is faced by consumers in the Marketplace. In both settings, new model and computational methods are developed to assist the decision maker in making an optimal decision. Chapter 2 presents a forecasting mechanism of operating room workload and dynamic adjustment policy on the staffing level decisions, which may be used by hospitals to better schedule the operating rooms. Staffing levels are usually determined months in advance when little information about the surgeries and their durations is known. This lack of information leads to a mismatch between the staffing level and the actual surgical duration, which results in excessive labor costs. This paper proposes a new dynamic staffing policy according to which hospital administrators adjust nurse staffing levels as information on the different types of surgeries arrives sequentially. The staffing level adjustments are accompanied with cost in order to incorporate the unwillingness to change. Using this dynamic framework, it is shown that a threshold policy defined by two adjustment levels is optimal. Numerical results using data from a large academic center suggest that the practical appeal of the dynamic policies will be greater where they will face the largest resistance: in hospitals where management considers dynamic labor adjustments to be impractical due to their complexity and thus implied costs. Chapter 3 begins the research on the impact of the Health Insurance Marketplace (the Marketplace) on consumers. The aim is to study the motivation behind the consumer choice and the roles that insurers and government play. It also provide insights in improving the efficiency in the Marketplace. This chapter introduces a cost point of view in modeling consumer decision. Consumers make rational choice by optimizing the objective function. The objective function includes the actual costs and the cost equivalent of health utilization. It is driven by the evidence that consumers value their costs most importantly. Moreover, this chapter presents a conceptual framework of dividing health utilization into regions. This captures the practical features such as over utilization in healthcare. Bounded rationality is also discussed and three potential directions are provided in this chapter. Chapter 4 builds a model to predict medical expenditure which consists of a regression, a transition, and an evolution of the parameters. This model is the first to use the number of service visits as predictors. This is consistent with the collecting process of data which is at an service event base. Moreover, it incorporates the behavior considerations of the different insurance status of consumers. Aside from this model, two alternatives models are considered for comparison. They reflect two existing approaches: regression on personal characteristics and log transformation for nonzero expenditures. The predictors are selected and their coefficients are evaluated using the longitudinal data from Medical Expenditure Panel Survey (MEPS). The two alternatives are compared with the model and it turns out that the model outperforms them in both prediction accuracy and variability explanation. Chapter 5 presents the simulation of consumer choice. The results suggest that the cost saver better matches the statistics from the federal government than the utility maximizer. Moreover, this chapter provides implications to the share between insurers and consumers. The actuarial values (the share of expenditure paid by insurers) is calculated based on simulated participation. They demonstrates inconsistency with the standard ones. Therefore inefficiency exits in the actuarial value calculation. This chapter also evaluates the government involvements in the Marketplace. The results suggest that its involvements, especially the government subsidies, effectively encourage the broader participation of insurance plans.

Operations Research Applications in Health Care Management

Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3319654551
Total Pages : 596 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Operations Research Applications in Health Care Management by : Cengiz Kahraman

Download or read book Operations Research Applications in Health Care Management written by Cengiz Kahraman and published by Springer. This book was released on 2017-12-08 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

Data-Driven Quality Improvement and Sustainability in Health Care

Author : Patricia Thomas
Publisher :
ISBN 13 : 9780826139436
Total Pages : 380 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Data-Driven Quality Improvement and Sustainability in Health Care by : Patricia Thomas

Download or read book Data-Driven Quality Improvement and Sustainability in Health Care written by Patricia Thomas and published by . This book was released on 2020-11-28 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach provides healthcare leaders and administrators of all disciplines with a solid understanding of data and how to leverage data to improve outcomes, fuel innovation, and achieve sustained results. It sets the stage by examining the current state of the healthcare landscape; new imperatives to meet policy, regulatory, and consumer demands; and the role of data in administrative and clinical decision-making. It helps the reader identify the methods and tools that support thoughtful and thorough data analysis and offers practical application of data-driven processes that determine performance in healthcare operations, value- and performance-based contracts, and risk contracts. Misuse or inconsistent use of data leads to ineffective and errant decision-making. This text highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls. In addition, chapters feature key points, reflection questions, and real-life interprofessional case exemplars to help the reader draw distinctions and apply principles to their own practice. Chapters also outline core competencies and skills required for leaders to master use of data and steer their teams to success. Key Features: Provides an understanding of the role of data in the current healthcare landscape and how to leverage data to drive innovative and sustainable change Offers frameworks, methodology, and tools to support quality improvement measures Demonstrates the application of data and how it shapes quality and safety initiatives through real-life case exemplars Outlines core competencies and skills required for leaders to achieve results Highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls Purchase includes access to the eBook for use on most mobile devices or computers

Data-driven Healthcare

Author : Laura B. Madsen
Publisher :
ISBN 13 : 9781119205012
Total Pages : 198 pages
Book Rating : 4.2/5 (5 download)

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Book Synopsis Data-driven Healthcare by : Laura B. Madsen

Download or read book Data-driven Healthcare written by Laura B. Madsen and published by . This book was released on 2014 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is revolutionizing the healthcare industry. With more data available than ever before, and applying the right analytics you can spur growth. Benefits extend to patients, providers, and board members, and the technology can make centralized patient management a reality. Despite the potential for growth, many in the industry and government are questioning the value of data in health care, wondering if it's worth the investment. This book tackles the issue and proves why BI is not only worth it, but necessary for industry advancement. Madsen challenges the notion that data has little value in healthcare, and shows how BI can ease regulatory reporting pressures and streamline the entire system as it evolves. She illustrates how a data-driven organization is created, and how it can transform the industry. --

Data-driven Models of Healthcare Delivery Operations

Author : Jonas Oddur Jonasson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Data-driven Models of Healthcare Delivery Operations by : Jonas Oddur Jonasson

Download or read book Data-driven Models of Healthcare Delivery Operations written by Jonas Oddur Jonasson and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Healthcare Process Discovery and Operational Coordination Using Discrete Event Simulation and Machine Learning

Author : Suleyman Yildirim
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

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Book Synopsis Intelligent Healthcare Process Discovery and Operational Coordination Using Discrete Event Simulation and Machine Learning by : Suleyman Yildirim

Download or read book Intelligent Healthcare Process Discovery and Operational Coordination Using Discrete Event Simulation and Machine Learning written by Suleyman Yildirim and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare system in the US is rapidly changing and reshaping to adopt continuously evolving demand for improved operational efficiency and treatment effectiveness from patients and providers in critical health services. Healthcare service systems and clinical treatment operations need to be more predictable to increase operational efficiency through proactive operations management. This research contributes to the literature by discovering clinical processes and calibrating discrete-event simulation models in healthcare service systems using data-driven and process-driven predictive models. Unlike the data-driven predictive approaches such as machine learning and statistical methods, the proposed methodologies in this thesis leverages and focuses on process-based methods and analysis in healthcare service systems. Our first contribution is an integrated framework for process-driven multi-variate change point detection by coupling change point detection models with machine learning and process-driven simulation modeling in healthcare service systems. Initial development and succeeding calibration of discrete-event simulation models for complex healthcare systems require precise identification of dynamically changing process characteristics. Existing data-driven change point methods assume that changes are extrinsic to the system and cannot utilize available process knowledge. Our framework leverages simulation models to generate system-level outputs that are then used to predict system characteristics and change points using neural networks. The framework’s optimization layer iterates the change points by repeating simulation and predictive model building steps until the simulated system characteristics conforms to that of the actual process data. Using an emergency department case study, we demonstrate that the developed approach significantly improves change point detection accuracy over data-driven methods’ estimates and is able to detect actual change points. Our second contribution is a time-to-event prediction approach for clinical care operations in intensive care units. By focusing on the sepsis treatment in intensive care units, we predict time-to-event for antibiotic administration at critical vital states of the sepsis-risk patients. Our approach’s most salient aspects are the feature engineering specific to sepsis care and timing and labeling of the predictions. Using a real dataset, MIMIC-III (Medical Information Mart for Intensive Care-III) dataset, we demonstrate that the approach is able to accurately predict a practical time-window for antibiotic administration. Through predicted antibiotics administration time interval, the providers can make informed decisions and the operations staff can proactively coordinate activities to ensure meeting service standards for quality of care.

Three Essays in Operations Management

Author : Ngai-Hang Zachary Leung
Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.:/5 (898 download)

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Book Synopsis Three Essays in Operations Management by : Ngai-Hang Zachary Leung

Download or read book Three Essays in Operations Management written by Ngai-Hang Zachary Leung and published by . This book was released on 2014 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis applies optimization theory to three problems in operations management. In the first part of the thesis, we investigate the impact of inventory control on the availability of drugs to patients at public health facilities in Zambia. We present consistent empirical data and simulation results showing that, because of its failure to properly anticipate seasonal variations in demand and supply lead-times, this system leads to predictable patient-level stock-outs even when there is ample inventory available in the central warehouse. Secondly, we propose an alternative inventory control system relying on mobile devices and mathematical optimization, and present results from a validated simulation model suggesting that its implementation would lead to a substantial improvement of patient access to drugs relative to the current system. In the second part of the thesis, we investigate the impact of returning customers on pricing for fashion Internet retailers. Our analysis of clickstream data from an online fashion retailer shows that a significant proportion of sales is due to returning customers, i.e. customers who first visit an item at a particular price, but purchase the item in a later visit at a lower price. We propose a markdown pricing model that explicitly incorporates returning customers. We propose a model for quantifying the value of the returning pricing model relative to a pricing model that does not distinguish between first-time and returning customers, and determine the value of returning pricing both exactly and through developing bounds. Based on real data from a fashion Internet retailer, we estimate the parameters of the returning demand model and determine the value of the returning pricing model. Lastly, we study the promotion optimization problem faced by grocery retailers, i.e. deciding which items to promote and at what price. Our formulation includes several business rules that arise in practice. We build demand models from data in order to capture the stockpiling behavior through dependence on past prices. This gives rise to a hard problem. For general additive and multiplicative demand structures, we propose efficient LP based methods, show theoretical performance guarantees and validate our results using real data.

Essays in Healthcare Operations Management : Investigating the Relationship Between Operational Factors and Healthcare Outcomes

Author : Joonhyuk Bok
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

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Book Synopsis Essays in Healthcare Operations Management : Investigating the Relationship Between Operational Factors and Healthcare Outcomes by : Joonhyuk Bok

Download or read book Essays in Healthcare Operations Management : Investigating the Relationship Between Operational Factors and Healthcare Outcomes written by Joonhyuk Bok and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: