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024 7 _a10.1007/978-981-95-2806-6
_2doi
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100 1 _aGuan, Jian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_923448
245 1 0 _aGovernance and Management of Medical Scientific Data Sharing and Application
_h[electronic resource] :
_bEvidence and Solutions from China /
_cby Jian Guan.
250 _a1st ed. 2026.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2026.
300 _aXXV, 467 p. 12 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _bPDF/UA-1
_2onix
341 0 _bTable of contents navigation
_2onix
341 0 _bSingle logical reading order
_2onix
341 0 _bShort alternative textual descriptions
_2onix
341 0 _bUse of color is not sole means of conveying information
_2onix
341 0 _bUse of high contrast between text and background color
_2onix
341 0 _bNext / Previous structural navigation
_2onix
341 0 _bAll non-decorative content supports reading without sight
_2onix
347 _atext file
_bPDF
_2rda
505 0 _aOverview of the Medical Scientific Data and its Sharing -- Sharing Mechanism and Guarantee System of Practice -- International Policy and Consensus -- Medical Research Ethics -- Data Ethics -- Institutional Data Management -- Privacy Protection -- Informed Consent -- Framework of Data Standard -- Construction of interactive data standards and Value Evaluation -- Introduction of Big Data in Health Field -- Big Data in Healthcare -- Public Health Big Data -- Omics Data -- Artificial Intelligence in health field.
506 0 _aOpen Access
520 _aThis open access book aims to present an overview of the governance and management of medial data sharing and application based on China’s evidence and experience. The basic knowledge and guidelines of medical data sharing in China and international consensus are introduced, including the identifications of medical data and its sharing, the mechanism of data sharing, medical ethics and data ethics, institutional management, privacy policy, etc. The challenges to law and governance from medical big data and AI in medicine are discussed, which are the key trends in both public and individual health. This book builds an academic system for governance and management of medical data sharing and application, as well as a practical guidance. It would be insightful for researchers and practitioners in medical institutions.
532 8 _aAccessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.
532 8 _aNo reading system accessibility options actively disabled
532 8 _aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0 _aBig data.
650 0 _aMedical Ethics.
650 1 4 _aBig Data.
650 2 4 _aMedical Ethics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819528059
776 0 8 _iPrinted edition:
_z9789819528073
776 0 8 _iPrinted edition:
_z9789819528080
856 4 0 _uhttps://doi.org/10.1007/978-981-95-2806-6
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
912 _aZDB-2-SOB
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