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印孚瑟斯(Infosys):2025年美国医疗市场展望报告(中译版)(24页).pdf

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1、INFOSYS HEALTHCARE MARKET OUTLOOK 20252|Infosys Healthcare Market Outlook 2025External Document 2025 Infosys Limited Infosys Healthcare Market Outlook 2025|3External Document 2025 Infosys Limited CONTENTSExecutive summary 4Healthcare dynamics 5Tech and business trends 10Financial outlook 14Strategic

2、 imperatives 164|Infosys Healthcare Market Outlook 2025External Document 2025 Infosys Limited EXECUTIVE SUMMARYThe US healthcare system has struggled to deliver high-quality,efficient care at scale across the broader population.While costs have escalated beyond those in other advanced economies,equi

3、table access to care in the US remains elusive.Healthcare providers struggle with administrative burdens,burnout,and workforce shortages.Payers are working to improve patient experience,and to increase operational efficiency across complex systems.In addition to these longstanding challenges,healthc

4、are in the US faces new headwinds.As political decisions scale back investment in health research and public healthcare,they often impose additional regulatory constraints just as healthcare organizations face mounting pressure to keep up with fast-moving technological innovation.However,there are o

5、pportunities to address both recent headwinds and persistent challenges.New operating models that refocus on patient care and well-being offer a chance to reset.Digital modernization can reduce administrative burdens and potentially curb costs and delays in the system.Plus,artificial intelligence(AI

6、)tools in healthcare hold the potential to unlock significant value streamlining clinical workflows and enabling providers to focus on more meaningful,human-centered patient care.Infosys Healthcare Market Outlook 2025|5External Document 2025 Infosys Limited HEALTHCARE DYNAMICS The mission of a healt

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根据《INFOSYSHEALTHCAREMARKETOUTLOOK 2025》报告,以下为全文主要内容概括: 1. 美国医疗保健市场在2023年达到4.9万亿美元,占GDP的17.6%,预计未来几年将保持增长。 2. 美国医疗保健系统面临挑战,包括行政负担、人员短缺、技术落后和信任度下降。 3. 云计算和人工智能(AI)技术有望改善医疗保健系统,提高效率和质量。 4. 46%的医疗保健机构正在与云服务提供商合作,以实现基础设施现代化。 5. AI在医疗保健领域的应用包括自动化临床任务、提高患者体验和改善运营效率。 6. 47%的医疗保健AI项目实现了部分或大部分商业价值。 7. 以患者为中心的价值导向和数字化转型是提高医疗保健系统效率的关键。
"AI如何重塑医疗未来?" "医疗行业如何应对技术挑战?" "数字化如何提升患者体验?"
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