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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(美国版)(英文版)(30页).pdf

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1、United States reportCommissioned by PhilipsAI in practiceShaping the future of healthcare nowContentsResearch premise 3Foreword 4Introduction AI is already changing healthcare but not yet at scale 5Chapter 1AI dividends are emerging 6Chapter 2AI adoption is outpacing healthcare readiness 14Chapter 3

2、The new hybrid care team 18Future outlook AI and the next era of care 24AppendicesResearch methodology 26Glossary of terms 28A decade of global research 292Future Health Index 2026Research premiseBrazilIndonesiaUnited StatesUnited KingdomFranceSaudi ArabiaIndiaThe NetherlandsChinaGermany 10countries

3、2,000+healthcare professionals20,000+patientsThis is the largest global survey of its kind,analyzing the perspectives of healthcare professionals and patients.In its 11th edition,the Future Health Index 2026 investigates the tangible impact of articial intelligence(AI)on healthcare and the measurabl

4、e results it delivers.This years report moves beyond the potential of AI to highlight how healthcare professionals and 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 i

5、nvolving over 2,000 healthcare professionals and over 20,000 patients across 10 countries.3Future 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 clinical applications for example,

6、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 Health Index shows that,where AI i

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1. **AI已在医疗领域落地并产生实际效益**:84%的美国医疗专业人员对AI改善患者结果持乐观态度,56%的患者认为AI能提升医疗质量。 2. **AI释放临床时间与提升效率**:49%的医生年均节省超132小时,48%用于更细致的病例分析;36%的医生表示能接诊更多患者(中位数每周+5人)。 3. **AI增强临床决策与安全**:58%的医生认为工作流效率提升,27%称AI曾帮助识别潜在医疗错误;58%对决策信心增强。 4. **整合与培训滞后**:77%的医生反映AI培训不足,69%缺乏AI监控流程;93%强调需保留人类决策权。 5. **混合医疗团队形成**:75%的医生角色将转向更高价值工作,67%的患者将成为AI赋能的主动参与者。
AI红利何时兑现? 医生会被取代吗? 患者如何参与AI诊疗?
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