Manual of Healthcare Leadership - Essential Strategies for P, Lombardi Donald
Автор: Shale Название: Moral Leadership in Medicine ISBN: 1107006155 ISBN-13(EAN): 9781107006157 Издательство: Cambridge Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What are the moral challenges that confront doctors as they manage healthcare institutions? How do we build trust in medical organisations? How do we conceptualize moral action? Based on accounts given by senior doctors from organisations throughout the UK, this book discusses the issues medical leaders find most troubling and identifies the moral tensions they face. Moral Leadership in Medicine examines in detail how doctors protect patients' interests, implement morally controversial change, manage colleagues in difficulty and rebuild trust after serious medical harm. The book discusses how leaders develop moral narratives to make sense of these situations, how they behave while balancing conflicting moral goals and how they influence those around them to do the right thing in difficult circumstances. Based on empirical ethical analysis, this volume is essential reading for clinicians in leadership roles and students and academics in the fields of healthcare management, medical law and healthcare ethics.
Описание: This book examines new techniques and strategies to improve the occurrence of clinical outcomes for Acute Coronary Syndromes (ACS) patients. It includes new imaging techniques for the precocious identification of patients at major risk.
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: 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: 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.
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