Governance and Management of Medical Scientific Data Sharing and Application : Evidence and Solutions from China / by Jian Guan.

Format:

Book

Author/Creator:

Guan, Jian, Author.

Language:

English

Subjects (All):

Big data.

Medical ethics.

Big Data.

Medical Ethics.

Local Subjects:

Big Data.

Medical Ethics.

Physical Description:

1 online resource (XXV, 467 p. 12 illus., 11 illus. in color.)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This 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.

Contents:

Overview 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.

ISBN:

981-9528-06-2

9789819528066