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Theory and Practice of Business Intelligence in Healthcare, Jiban Khuntia, Xue Ning, Mohan Tanniru


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Автор: Jiban Khuntia, Xue Ning, Mohan Tanniru
Название:  Theory and Practice of Business Intelligence in Healthcare
ISBN: 9781799823100
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1799823105
Обложка/Формат: Hardback
Страницы: 270
Вес: 0.84 кг.
Дата издания: 30.06.2020
Серия: Medicine
Язык: English
Размер: 280 x 216 x 19
Читательская аудитория: Professional and scholarly
Ключевые слова: Economics,Medical administration & management,Medicine: general issues, BUSINESS & ECONOMICS / General,MEDICAL / Administration,MEDICAL / General
Основная тема: Economics,Medical administration & management,Medicine: general issues, BUSINESS & ECONOMICS / General,MEDICAL / General,MEDICAL / Administration
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Поставляется из: Англии
Описание: Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare.

Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.



Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Автор: Muhammet Gul, Erkan Celik, Suleyman Mete, Faruk Serin
Название: Computational Intelligence and Soft Computing Applications in Healthcare Management Science
ISBN: 1799825817 ISBN-13(EAN): 9781799825814
Издательство: Mare Nostrum (Eurospan)
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Цена: 39640.00 р.
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Описание: In today's modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop.

Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Автор: Noughabi Elham Akhond Zadeh, Raahemi Bijan, Albadvi Amir
Название: Handbook of Research on Data Science for Effective Healthcare Practice and Administration
ISBN: 1522525157 ISBN-13(EAN): 9781522525158
Издательство: Mare Nostrum (Eurospan)
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Цена: 31977.00 р.
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Описание: Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Patient Safety and Healthcare Improvement at a Glance

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: 5061.00 р.
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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.

Ibclc Private Practice: From Start to Strong

Автор: Frisbie Ibclc Ma Annie
Название: Ibclc Private Practice: From Start to Strong
ISBN: 1732088527 ISBN-13(EAN): 9781732088528
Издательство: Неизвестно
Цена: 10803.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Becoming a successful private practice lactation consultant is about so much more than your passion for helping families. You need a solid infrastructure, rock-solid practices, and confidence in your policies.

This book will hold your hand from before you pass the exam through the day-to-day workflow of private practice, and on to ideas and inspirations to help you take your private practice to the next level. Throughout the book, I've integrated up-to-date recommendations on technology and related issues, and use inclusive language and promote equity for families and within our profession.

You've fallen in love with lactation work, now acquire the tools, training, and resources you need to organize your business, develop a client workflow, market your services, and navigate difficult situations so that you can cultivate a sustainable, enjoyable, and successful private practice.

5s for healthcare

Автор: Thomas L. Jackson
Название: 5s for healthcare
ISBN: 1439803501 ISBN-13(EAN): 9781439803509
Издательство: Taylor&Francis
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Цена: 4898.00 р.
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Описание: Based on Hiroyuki Hirano`s classic "5 Pillars of the Visual Workplace" and modeled after the Shingo Prize-winning "Shopfloor Series for Lean Manufacturers", this work adopts a reader-friendly format to impart the information needed to understand and efficiently implement lean methodology in a healthcare setting.

Applying Business Intelligence to Clinical and Healthcare Organizations

Автор: Machado Jose, Abelha Antonio
Название: Applying Business Intelligence to Clinical and Healthcare Organizations
ISBN: 1466698829 ISBN-13(EAN): 9781466698826
Издательство: Mare Nostrum (Eurospan)
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Цена: 20691.00 р.
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Описание: Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices.Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

Comprehensive Healthcare Simulation:  Operations, Technology, and Innovative Practice

Автор: Crawford
Название: Comprehensive Healthcare Simulation: Operations, Technology, and Innovative Practice
ISBN: 3030153770 ISBN-13(EAN): 9783030153779
Издательство: Springer
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Цена: 13974.00 р.
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Computational Intelligence in Medical Informatics

Автор: Naresh Babu Muppalaneni; Vinit Kumar Gunjan
Название: Computational Intelligence in Medical Informatics
ISBN: 9812872590 ISBN-13(EAN): 9789812872593
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers.

Healthcare Analytics: From Data to Knowledge to Healthcare Improvement

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: 17099.00 р.
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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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