Performance Improvement for Healthcare: Leading Change with, Inozu Bahadir
Автор: Houston, Susan Bove, Lisa Anne Название: Project Management for Healthcare Informatics ISBN: 0387736824 ISBN-13(EAN): 9780387736822 Издательство: Springer Рейтинг: Цена: 10798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Through its use of real clinical examples, this book provides an explanation of the project management process tailored for nurses. Coverage includes the tools available to successfully complete each phase of the project management process and advance the project life cycle.
Название: Performance Improvement Making It Happen ISBN: 1574442821 ISBN-13(EAN): 9781574442823 Издательство: Taylor&Francis Цена: 4133.00 р. Наличие на складе: Поставка под заказ.
Описание: Your business - large or small, profit or not-for-profit, government or private - will benefit from the techniques found in Performance Improvement: Making it Happen. It offers a comprehensive, practical approach to diagnostic performance problems and their causes. More importantly, it gives you the tools and methods for achieving major performance improvement in individuals, teams, and organizations.
Автор: Harbour Jerry L. Название: Lean Human Performance Improvement ISBN: 1482298813 ISBN-13(EAN): 9781482298819 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
As companies continue their efforts to improve work performance, they must ensure that their ongoing Lean activities include a healthy appreciation for, and recognition of, human performance. Ignoring the human component of work performance can be a recipe for unnecessary waste, inefficiency, and decreased productivity. Lean Human Performance Improvement presents a broad overview of human performance in the workplace. The author discusses his findings from a broad spectrum of human performance-related fields and diverse industrial sectors (gained by working in the field for over 30 years).
Organized in three sections, this book covers understanding human performance, analyzing and improving work productivity, and analyzing and improving quality and safety. The author first develops a fundamental and basic understanding of human performance, then couples that understanding with learning how to analyze and improve human-related work productivity and quality and safety. He also discusses how knowledge and skills transfer from one work setting to another.
Intended for Lean Six Sigma team members and human performance improvement practitioners, the book contains multiple examples from diverse work settings to explain key points. It also includes several major case studies. The goal of all examples and case studies is to develop a generic understanding that, in turn, can be successfully applied to any work setting.
Автор: Sukhmeet Panesar,Andrew Carson-Stevens,Sarah Salvi Название: Patient Safety and Healthcare Improvement at a Glance ISBN: 1118361369 ISBN-13(EAN): 9781118361368 Издательство: Wiley Рейтинг: Цена: 5061.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Patient Safety and Healthcare Improvement at a Glance is a timely and thorough overview of healthcare quality written specifically for students and junior doctors and healthcare professionals. It bridges the gap between the practical and the theoretical to ensure the safety and wellbeing of patients.
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
