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付款人数字化转型:数据+人工智能的影响.pdf

上传人: Fl****zo 编号:718747 2025-06-22 19页 1.26MB

1、Payer Digital Transformation:The Impact of Data+AIData and AI Summit 2025June 11,2025Jagadish VenkataramanVP,ML Research and EngineeringUnitedHealth GroupNeeraj SharmaVice President,HealthcareFractal AnalyticsUnlocking AI Transformation ValueUpskilling Talent to Power Scalable AI DeliveryJune 11,202

2、54ConfidentialPowerful Strategic Partnership Jagadish Venkataraman Neeraj SharmaVP,ML Research and EngineeringVP,Healthcare 5ConfidentialHelping people live healthier lives and helping make the health system work better for everyone6ConfidentialAs a Fortune 5 leader,data shadows every step we take,i

3、ts power lies not in what it is148 million individualsEngagement10 years of longitudinal dataPrescriptionsCare DeliveryLabs7Confidential but it is in its potential,fueled by AI innovation,to improve members livesAll AI use cases are reviewed for performance,fairness and bias by UHGs Responsible AI R

4、eview board,a diverse team of clinicians,data scientists,legal,security and compliance team members.Care(Prevention)Consumer(Experience)Preventing hospital readmissionCare gap closureEnhanced SearchOperational AutomationAdvocate Experience8ConfidentialTalent upskilling unleashes full potential!*Sour

5、ce:AI:The Ambitions Are Bold,but the Talent Is Scarce|Bain&Company#1 hindrance for AI implementation isRetain knowledgeUnlock productivityCost effectiveReduce DependenceBusiness Value“Lack of in-house expertise or resources”-44%executives surveyed by Bain*9ConfidentialFractal and UHG joined forces 2

6、 2 EngineeringDesignAI&AnalyticsResults=CultureTalentGovernance OrganizationalEffectiveness=10ConfidentialFractal Analytics Academy to balance personalized learning with scaleVaried Learner PersonasDiverse Skill LevelsExisting Business CommitmentsLearning through Experience11ConfidentialPurpose Buil

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本文主要内容概述如下: 1. 数据与AI的融合对医疗行业的影响:UnitedHealth Group与Fractal Analytics合作,通过数据与AI的融合,助力人们更健康地生活,改善整个健康系统。 2. 人才技能提升:为推动可扩展的AI交付,两家公司共同致力于人才培养,通过Fractal Analytics Academy提供个性化的学习路径。 3. 负责的AI应用:所有AI用例都经过UHG的Responsible AI Review board审核,确保性能、公平性和无偏见。 核心数据: - 148 million individuals的长期数据。 - 44%的受访高管认为“缺乏内部专业知识或资源”是AI实施的主要障碍。 4. 业务价值:通过AI Dojo项目,实现了成本效益(比外部教育成本低2%)、人才保留和业务价值的提升。 5. 技术平台:United AI Studio和LLM Gateway作为关键平台,支持从模型构建到部署的全流程管理。 关键点分条列出: - 数据与AI的融合助力医疗行业改进。 - 人才培养解决AI实施的人才短缺问题。 - 强调负责任的AI应用。 - 实现了成本效益和业务价值的显著提升。 - 技术平台支持高效、安全的AI模型管理。
"如何释放AI转型价值?" "数据+AI如何助力医疗变革?" "AI人才培养的关键在哪里?"
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