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Titlebook: India’s Private Health Care Delivery; Critique and Remedie Sanjeev Kelkar Book 2021 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 16:36:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱India’s Private Health Care Delivery
副標(biāo)題Critique and Remedie
編輯Sanjeev Kelkar
視頻videohttp://file.papertrans.cn/464/463564/463564.mp4
概述Provides detailed expose of the structure, function and the true nature of Private Health Sector Care.Details extensively how the practices of the private sector adversely affect the people, the consu
圖書封面Titlebook: India’s Private Health Care Delivery; Critique and Remedie Sanjeev Kelkar Book 2021 The Editor(s) (if applicable) and The Author(s), under
描述.This book brings together all the major components of the private health care sector in India, with detailed description of its evolution, the foundational ideas, its development, the positives and ill effects on the population. It suggests intelligible and practical remedies for public good.?.The book presents a?comprehensive review of private health care sector’s resistance to Indian Government’s reforms like the national medical commission, NEET, clinical?establishment act and the new boost to the traditional medicine by the Indian government. The author has discussed contentious areas like Corporate?Hospitals, Capitation Fee Colleges, Pharmaceutical Industry, Western Models in Health Care, Integration of Medical Systems, Ayushman Bharat Scheme, Health Insurance and Public Private Partnership on a massive scale..
出版日期Book 2021
關(guān)鍵詞National Medical Commission; National Eligibility cum Entrance Test NEET; AYUSH; Ayushman Bharat; Corpor
版次1
doihttps://doi.org/10.1007/978-981-15-9778-7
isbn_ebook978-981-15-9778-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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rse problems considered. This can be of great benefit since methods such as the L-curve and the Fixed Point Iteration require the inverse problem to be solved several times in order to determine the optimal value for the regularization parameter. The main idea that supports the proposed approach is
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Sanjeev Kelkarrse problems considered. This can be of great benefit since methods such as the L-curve and the Fixed Point Iteration require the inverse problem to be solved several times in order to determine the optimal value for the regularization parameter. The main idea that supports the proposed approach is
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