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世界经济论坛:2020年联合数据联盟模型中共享敏感的健康数据:八步指南 (英文版)(26页).pdf

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1、Sharing Sensitive Health Data in a Federated Data Consortium Model An Eight-Step Guide I N S I G H T R E P O R T J U LY 2 0 2 0 Contents Foreword Introduction Step 1 Establish and sustain trust Step 2 Jointly determine the problem for a federated approach Step 3 Align on incentives and organizationa

2、l capacity Step 4 Identify resourcing team leadership and funding Step 5 Identify institutional differences or gaps in policy Step 6 Create a consortium governance model Step 7 Structure the data Step 8 Deploy the API technology Conclusion Appendix Acknowledgements Endnotes 3 4 6 9 11 13 15 17 20 21

3、 22 23 23 24 2020 World Economic Forum. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system. Sharing Sensitive Health Data in a Federated Data Consortiu

4、m Model2 Foreword At the World Economic Forum, we think of data as the oxygen that fuels the fire of the Fourth Industrial Revolution. It is readily available and necessary but, if used improperly, it can generate dangerous and unwelcome results. Concerns over how to protect valuable data, especiall

5、y sensitive, personal data, are at the core of many countries and institutions data policies. We see a complex and dynamic data policy landscape evolving around health data in particular; it is becoming more and more complicated to share data to the extent desired to advance research, innovation and

6、 patient outcomes. The need to rapidly provide access to health data, while protecting patient privacy and data security, has never been more urgent in the fight against the COVID-19 pandemic. This paper is part of the Forums work to create actionable resources for policy-makers, healthcare professi

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本文主要介绍了如何建立一个联邦数据联盟模型,以共享敏感的健康数据。主要内容包括: 1. 建立信任是建立联邦数据联盟模型的第一步,也是最关键的一步。这需要选择正确的合作伙伴,进行深入的关系建设和领导团队的支持。 2. 定义问题,即确定联邦方法要解决的问题。这需要与合作伙伴共同确定。 3. 调整激励措施和组织能力,确保所有合作伙伴都有共同的激励措施。 4. 确定资源,包括团队领导和资金。 5. 确定政策差异或差距。 6. 创建联盟治理模式。 7. 结构化数据。 8. 部署API技术。 本文还指出,建立联邦数据联盟模型需要谨慎规划,并仔细考虑如何有效制定和实施明确的治理结构。全球联邦数据联盟提供了改善患者结果和医疗保健交付途径的巨大机会,但也需要强大的安全性和不断改进的政策,以提供对坏行为者、数据泄露或其他可预防风险的安全保障。
如何建立数据联盟的信任? 如何选择合适的合作伙伴? 不同地区如何建立信任?
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