Voice Technology in Healthcare, Metcalf, David , Fisher, Teri , Pruthi, Sandhya

Автор: Hui Yang,Eva K. Lee
Название: Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
ISBN: 1118919394 ISBN-13(EAN): 9781118919392
Издательство: Wiley
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Цена: 113990.00 T
Наличие на складе: Поставка под заказ.
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.

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
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Цена: 33740.00 T
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.

Автор: Eliezer Geisler; Ori Heller
Название: Managing Technology in Healthcare
ISBN: 146128614X ISBN-13(EAN): 9781461286141
Издательство: Springer
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Цена: 194730.00 T
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Описание: The complexity of the health care environment and the difficulties in managing technology in general (and in health care in particular) makes this book a landmark exploration for the purpose of creating in-roads into the largely uncharted territory of health care technology.

Автор: Barry G. Silverman; Ashlesha Jain; Ajita Ichalkara
Название: Intelligent Paradigms for Healthcare Enterprises
ISBN: 3642061753 ISBN-13(EAN): 9783642061752
Издательство: Springer
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Цена: 158380.00 T
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Описание: This compendium brings together leading researchers in the fields of Intelligent Systems and healthcare aiming at medical engineers, healthcare managers and computer scientists worldwide.

Автор: Sumeet Dua; U. Rajendra Acharya; Prerna Dua
Название: Machine Learning in Healthcare Informatics
ISBN: 3662507633 ISBN-13(EAN): 9783662507636
Издательство: Springer
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Цена: 121890.00 T
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Описание: Providing a unique and integrated compendium of both current and emerging machine-learning paradigms in the vital field of health informatics, this work by leading experts reflects the diversity and complexity of this multi-disciplinary area of research.

Автор: Volker Eric Amelung
Название: Healthcare Management
ISBN: 3662524597 ISBN-13(EAN): 9783662524596
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book offers a systematic overview of the organisational forms and management instruments implemented in managed care. Advocates consider managed care to be a logical and necessary developmental step in modern healthcare systems.

Автор: Thanos Athanasiou; Ara Darzi
Название: Evidence Synthesis in Healthcare
ISBN: 1447171616 ISBN-13(EAN): 9781447171614
Издательство: Springer
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Цена: 186330.00 T
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Описание: Evidence Synthesis in Healthcare – a Practical Handbook for Clinicians is the first book to reveal the field of Evidence Synthesis, by combining multiple sources of quantitative/qualitative data to derive the best evidence for use in healthcare. Through the use of clearly explained examples and practical explanations, Evidence Synthesis in Healthcare – a Practical Handbook for Clinicians describes the practical tools, techniques, uses and policy considerations of evidence synthesis techniques in modern healthcare practice.

Автор: Navonil Mustafee
Название: Operational Research for Emergency Planning in Healthcare: Volume 1
ISBN: 1137535679 ISBN-13(EAN): 9781137535672
Издательство: Springer
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Цена: 97820.00 T
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Описание: Provides an overview of how Operational Research can be used for emergency planning in healthcare. Volume I focuses on the operational level and Volume 2 focuses on the strategic level.

Автор: Ronny S. Mans; Wil M. P. van der Aalst; Rob J. B.
Название: Process Mining in Healthcare
ISBN: 3319160702 ISBN-13(EAN): 9783319160702
Издательство: Springer
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Цена: 46570.00 T
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Описание: 1 Introduction.- 2 Healthcare Processes.- 3 Process Mining.- 4 Healthcare Reference Model.- 5 Applications of Process Mining.- 6 Data Quality Issues.- 7 Epilogue.

Автор: Fusheng Wang; Lixia Yao; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319577409 ISBN-13(EAN): 9783319577401
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.