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飞利浦:2026年未来健康指数报告:落地应用中的 AI-塑造当下医疗领域未来(全球版)(中译版)(31页).pdf

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1、Global reportCommissioned by PhilipsAI in practiceShaping the future of healthcare nowContentsResearch premise 3Foreword 4Executive summary Five key insights 5Introduction AI is already changing healthcare but not yet at scale 6Chapter 1AI dividends are emerging 7Chapter 2AI adoption is outpacing he

2、althcare readiness 15Chapter 3The new hybrid care team 19Future outlook AI and the next era of care 25AppendicesResearch methodology 27Glossary of terms 29A decade of global research 302Future Health Index 2026Research premiseThis is the largest global survey of its kind,analyzing the perspectives o

3、f healthcare professionals and patients.In its 11th edition,the Future Health Index 2026 investigates the tangible impact of artificial intelligence(AI)on healthcare and the measurable results it delivers.This years report moves beyond the potential of AI to highlight how healthcare professionals an

4、d patients around the world are actively using AI to regain time,expand capacity and improve care delivery.The Future Health Index 2026 is based on proprietary quantitative research involving over 2,000 healthcare professionals and over 20,000 patients across 10 countries.BrazilIndonesiaUnited State

5、sUnited KingdomFranceSaudi ArabiaIndiaThe NetherlandsChinaGermany 10countries2,000+healthcare professionals20,000+patients3Future Health Index 2026AI is no longer a future promise in healthcare.Its beginning to change how care is delivered day to day.Not long ago,much of the focus was on isolated cl

6、inical applications for example,how AI could diagnose cancer earlier or improve a single moment in care.Today,were seeing a broader shift:AI is becoming part of everyday care delivery,helping clinicians make better use of time,information and expertise to better support patients.This years Future He

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1. **AI已带来实际效益**:71%医护人员报告工作流效率提升,50%称AI增加接诊量(全球平均每周多看8名患者),39%称AI帮助识别潜在医疗错误。 2. **应用加速但准备不足**:64%医护人员因工作场所AI工具不足而使用个人工具,70%称缺乏相关培训,90%强调需人工监督AI决策。 3. **混合医疗团队形成**:70%患者使用AI获取健康信息,74%医护人员称患者携带AI信息就诊,69%需纠正AI误导信息。 4. **未来需整合与治理**:AI需融入临床工作流,建立数据互通和明确治理框架,以实现规模化、负责任的医疗AI应用。
AI红利在哪? AI如何改变医护? AI信任危机?
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