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Optimizing Emergency Department Throughput

Optimizing Emergency Department Throughput
Author: John M. Shiver
Publisher: CRC Press
Total Pages: 264
Release: 2017-07-26
Genre: Business & Economics
ISBN: 1420084976

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Across the country ambulances are turned away from emergency departments (EDs) and patients are waiting hours and sometimes days to be admitted to a hospital room. Hospitals are finding it hard to get specialist physicians to come to treat emergency patients. Our EDs demand a new way of thinking. They are not at a tipping point; they are at a break


Optimizing Patient Flow

Optimizing Patient Flow
Author: Eugene Litvak
Publisher:
Total Pages: 200
Release: 2018
Genre: Hospital care
ISBN: 9781635850406

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Optimizing patient flow : advanced strategies for managing variability to enhance access, quality, and safety offers readers innovate techniques for maximizing patient flow and improving operations management while providing clear examples of successful impementation. This all-new book can help health care organizations to reduce and manage variability, thereby increasing the reliablity of systems and processes and improving health care quality and safety.


Patient Flow Optimization in Emergency Departments

Patient Flow Optimization in Emergency Departments
Author: Hamid Memari
Publisher:
Total Pages: 162
Release: 2015
Genre: Health services administration
ISBN:

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In this study, we have aimed to optimize patient flow in emergency departments while minimizing associated costs. In order to be able to compare the effect of any changes, we developed a simulation model for an emergency department using Queuing theory, and regarding the optimization we utilized Genetic Algorithm to find the best change. Basically, we have designed a Discrete Event based, multi-class, multi-server queuing network as we have considered the emergency department a set of stages associated with a queue of patients waiting to be served. Each stage has multiple service providers such as Nurses, Doctors or other staff. We also classified patients passing through the stages, according to their acuity level and personal characteristics. Then, we defined a function as a measure of the ED performance in respect to the calculated wait times and the cost. Finally, we developed a customized genetic algorithm to find the best performance which reflects the best allocation of service providers into multiple stages of the emergency department.


Emergency Department Leadership and Management

Emergency Department Leadership and Management
Author: Stephanie Kayden
Publisher: Cambridge University Press
Total Pages: 375
Release: 2015
Genre: Business & Economics
ISBN: 1107007399

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Written for a global audience, by an international team, the book provides practical, case-based emergency department leadership skills.


Managing Patient Flow in Hospitals

Managing Patient Flow in Hospitals
Author: Eugene Litvak
Publisher: Jcr Publishing
Total Pages: 0
Release: 2010
Genre: Health services administration
ISBN: 9781599403724

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Provides hospitals with scientifically grounded methods to optimally manage patient flow. This title features advanced tutorials to help you to: understand the problems in patient flow management; assess the quantitative impact of patient flow issues on patients and staff; and, use quantitative methods to enhance patient flow.


Patient Flow in Emergency Departments

Patient Flow in Emergency Departments
Author: Davida Kellam MSN
Publisher: Independently Published
Total Pages: 37
Release: 2019-12-24
Genre:
ISBN: 9781650305509

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Over the past several years there has been an overwhelming amount of patients coming to the emergency department for medical care. It is essential for all emergency departments to improve patient flow by identifying barriers that slow the patient flow down and improve and revise these areas. The research study was done to identify multiple areas causing issues with patient flow through emergency departments.


Patient Flow

Patient Flow
Author: Randolph Hall
Publisher: Springer Science & Business Media
Total Pages: 547
Release: 2013-12-11
Genre: Business & Economics
ISBN: 1461495121

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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.


Improving Emergency Department Patient Flow Through Near Real-time Analytics

Improving Emergency Department Patient Flow Through Near Real-time Analytics
Author: Shanshan Qiu
Publisher:
Total Pages: 132
Release: 2014
Genre: Hospitals
ISBN:

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ABSTRACT IMPROVING EMERGENCY DEPARTMENT PATIENT FLOW THROUGH NEAR REAL-TIME ANALYTICS This dissertation research investigates opportunities for developing effective decision support models that exploit near real-time (NRT) information to enhance the "operational intelligence" within hospital Emergency Departments (ED). Approaching from a systems engineering perspective, the study proposes a novel decision support framework for streamlining ED patient flow that employs machine learning, statistical and operations research methods to facilitate its operationalization. ED crowding has become the subject of significant public and academic attention, and it is known to cause a number of adverse outcomes to the patients, ED staff as well as hospital revenues. Despite many efforts to investigate the causes, consequences and interventions for ED overcrowding in the past two decades, scientific knowledge remains limited in regards to strategies and pragmatic approaches that actually improve patient flow in EDs. Motivated by the gaps in research, we develop a near real-time triage decision support system to reduce ED boarding and improve ED patient flow. The proposed system is a novel variant of a newsvendor modeling framework that integrates patient admission probability prediction within a proactive ward-bed reservation system to improve the effectiveness of bed coordination efforts and reduce boarding times for ED patients along with the resulting costs. Specifically, we propose a cost-sensitive bed reservation policy that recommends optimal bed reservation times for patients right during triage. The policy relies on classifiers that estimate the probability that the ED patient will be admitted using the patient information collected and readily available at triage or right after.


Hospital-Based Emergency Care

Hospital-Based Emergency Care
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 424
Release: 2007-05-03
Genre: Medical
ISBN: 0309133777

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Today our emergency care system faces an epidemic of crowded emergency departments, patients boarding in hallways waiting to be admitted, and daily ambulance diversions. Hospital-Based Emergency Care addresses the difficulty of balancing the roles of hospital-based emergency and trauma care, not simply urgent and lifesaving care, but also safety net care for uninsured patients, public health surveillance, disaster preparation, and adjunct care in the face of increasing patient volume and limited resources. This new book considers the multiple aspects to the emergency care system in the United States by exploring its strengths, limitations, and future challenges. The wide range of issues covered includes: • The role and impact of the emergency department within the larger hospital and health care system. • Patient flow and information technology. • Workforce issues across multiple disciplines. • Patient safety and the quality and efficiency of emergency care services. • Basic, clinical, and health services research relevant to emergency care. • Special challenges of emergency care in rural settings. Hospital-Based Emergency Care is one of three books in the Future of Emergency Care series. This book will be of particular interest to emergency care providers, professional organizations, and policy makers looking to address the deficiencies in emergency care systems.