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世界经济论坛:2026数字健康新纪元:阿布扎比健康智能范式跃迁白皮书(英文版)(33页).pdf

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1、A New Era for Digital Health:Abu Dhabis Leap to Health IntelligenceW H I T E P A P E RJ A N U A R Y 2 0 2 6In collaboration with Department of Health Abu DhabiImages:Unsplash+Disclaimer This document is published by the World Economic Forum as a contribution to a project,insight area or interaction.

2、The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or other stakeholde

3、rs.2026 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.ContentsForewordsExecutive summaryIntroduction1 Innovation vs.intelligence

4、1.1 The innovation paradox1.2 Why innovation fails to scale1.3 The intelligence connection1.4 From one size fits all to personalized at scale1.5 Taking a system-level leap2 Abu Dhabis intelligent health system2.1 Abu Dhabis intelligent health system framework2.2 PredictPreventAct in practice2.3 Abu

5、Dhabis Population Health Intelligence platform2.4 How Abu Dhabis Population Health Intelligence platform works3 The impact of intelligence3.1 A healthier society3.2 A stronger economy3.3 Faster innovation at scale3.4 Better health outcomes for individuals4 A global playbook for health intelligence4.

6、1 Key enablers4.2 Lessons5 An invitation to scale innovation with intelligence5.1 Abu Dhabis HELM clusterConclusionContributorsEndnotes35788891011121214171819192122232424252627283031A New Era for Digital Health:Abu Dhabis Leap to Health Intelligence2ForewordIn this age of artificial intelligence(AI)

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1. **核心问题**:全球医疗系统碎片化、成本高、效果差,数字健康创新未转化为规模化智能,需从“创新”转向“智能”。 2. **阿布扎比模式**:构建“预测-预防-行动”智能健康系统,整合10万+数据流(临床、基因、环境等),实现个性化预防与精准医疗。 3. **关键成果**: - 心脏病急救响应时间降至57分钟(全球基准90分钟); - 乳腺癌筛查年龄降至20岁,提升早期诊断率; - AI保险欺诈监测减少浪费,释放财政资源; - 成人肥胖率22.3%、糖尿病患病率13.6%,通过健康生活策略降低风险。 4. **全球启示**:智能健康系统需政策支持、数据主权、基础设施投资及跨部门协作,以实现预防、公平和经济可持续性。
智慧医疗如何改变生活? 阿布扎比的健康秘诀是什么? 数据如何拯救医疗系统?
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