Handbook of Healthcare System Scheduling, Randolph Hall
Автор: Kemperman Название: Brilliant Business Models in Healthcare ISBN: 3319264397 ISBN-13(EAN): 9783319264394 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This exciting resource examines pioneering, successful business models in healthcare services, emphasizing bold and innovative entrepreneurship in creating care delivery that is accessible, affordable, and effective. Expert contributors supply fascinating case studies of visionary principles at work in hospitals, specialist care, eHealth providers, and insurers along with practical guidance on building and sustaining a vision, a brand, an organization, and a loyal base of clients, employees, and investors. Featured companies demonstrate how moving beyond conventional patient/provider, service/cost, and other relationships can translate into improvements that benefit clients’ health and stakeholders’ bottom line as well as the larger community and potentially the world. Coverage analyzes key attributes of these successful entities, detailing key challenges, funding issues, and especially breakthrough goals, including: Strengthening mutual caring and sharing. Letting prevention and self-management work. Patient-centered organization of information and everyday care. Deploying services and instruments to help customers take control. Implementing differentiation in specialized healthcare. The result is crucial takeaways for creating transformational business models in health fields. Approachably written and brimming with infographics, Brilliant Business Models in Healthcare provides inspiring role models for entrepreneurs, managers, consultants, and professionals in the healthcare sector, including providers, insurers, technology suppliers, and pharmacists.
Описание: Introduction.- Architecture.- Healthcare Standards Landscape.- Healthcare Data Exchange Standards.- Conformance Constructs.- Principles of Specifying Conformance.- Principles of Effective Profiling.- Profile Relationships.- Conformance Profiling Tools.- Testing Models.- Principles of Conformance Testing.- Conformity Assessment.- Testing Architectures.- Testing Tools.- Testing and Certification Programs.- Additional Healthcare Data Exchange Standards.
Автор: Brian T. Denton Название: Handbook of Healthcare Operations Management ISBN: 1489995501 ISBN-13(EAN): 9781489995506 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the Preface: Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States. Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.
Описание: This text addresses the key issue of informal payments, or ‘red packets’, in the Chinese Healthcare system. It considers how transactions take place at the clinical level as well as their regulation. Analysing the practice from the perspectives of institutions and power structure, it examines how institutional changes in the pre-reform and reform era have changed the power structure between medical professions, patients and the Party-state, and how these changes have given rise and perpetuate the practice. Drawing from qualitative data from interviews of medical professionals, the author recognises the medical profession as a major player in the health care system and presents their perception of the practice as the taker of ‘red packets’ and their interactions with the patient and the state surrounding the illegal practice in an authoritarian power structure. The books considers the institutional reasons that motivate doctors to take, patients to give, and the government to 'tolerate' red packets, arguing that the bureaucratization of the medical profession, society of acquaintances and shortage of quality of medical services jointly create an institutional setting that has given rise to these informal payments. Contributing to a rounded understanding of the problems of healthcare reform in China, this book is a key read for all scholars interested in the issue of informal payments and healthcare politics in transition economies.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery.
Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery.
Автор: Sanfilippo Joseph Название: MBA for Healthcare ISBN: 0199332053 ISBN-13(EAN): 9780199332052 Издательство: Oxford Academ Рейтинг: Цена: 7681.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering a unique exploration of healthcare-oriented business training and insight, MBA for Healthcare provides readers with an invaluable tool in the rapidly-changing healthcare industry today. This book is designed with healthcare providers at all levels of practice, so that they can promptly acquire both basic and advanced knowledge regarding the business aspects of medicine.
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