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Titlebook: Understanding Hospitals in Changing Health Systems; Antonio Durán,Stephen Wright Book 2020 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 16:25:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Understanding Hospitals in Changing Health Systems
編輯Antonio Durán,Stephen Wright
視頻videohttp://file.papertrans.cn/942/941474/941474.mp4
概述Argues that the health policy community has for decades opposed the roles of primary care and population health against those of hospitals, blinding us about how to govern and resource our health sect
圖書(shū)封面Titlebook: Understanding Hospitals in Changing Health Systems;  Antonio Durán,Stephen Wright Book 2020 The Editor(s) (if applicable) and The Author(s)
描述“This timely book provides insight into the changing role of the ‘hospital’ in the face of technological, organizational innovation and ever-tightening health budgets.”.James Barlow, Imperial College Business School, UK.“This book covers various relevant aspects of the hospital in different states and contexts. Underlining the importance of business models for future hospitals, this publication presents models of care from a historic and a current perspective.? All authors possess a deep insight into different health care systems, not only as scholars but as experts working for world-renowned health policy institutions such as the World Health Organization, the World Bank or the European Observatory for Health Systems.”.Siegfried Walch, Management Center Innsbruck, Austria.“For an organisation like mine, representing those involved in the strategic planning of healthcare infrastructure, this book provides invaluable insights into what really matters – now and for the future – in the complex and contentious field of hospital development.”.Jonathan Erskine, European Health Property Network, Netherlands.This book seeks to reframe current policy discussions on hospitals. Healthcare ser
出版日期Book 2020
關(guān)鍵詞Health systems; Hospitals; changing health systems; public health; care services; resources; governance; te
版次1
doihttps://doi.org/10.1007/978-3-030-28172-4
isbn_softcover978-3-030-28174-8
isbn_ebook978-3-030-28172-4
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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and established a stacking technique with those four base learners and one meta learner to effectively justify the outcome. There are four forms of splitting, and each has the best output with an accuracy of more than equal to 84.75%. Based on this, we’ve discovered that Age and LYMPH are commonly active indicators.
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