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超越算法:面向医疗保健营销人员的负责任的 AI 策略.pdf

上传人: Di****s 编号:920189 2025-09-13 20页 2.07MB

1、 2025,Sitecore A/S or a Sitecore affiliated company.All rights reserved.Beyond the Algorithm:Ethical AI,Real ImpactAdeline AshleySWAAY Health 2025 Adeline AshleyGlobal Director Industry&Value HealthcareAuthorAdvocate for ethical,patient-centered healthcare marketingPassionate about digital experienc

2、es that build trust and impactSpeaker2 2024,Sitecore A/S or a Sitecore affiliated company.33ChatGPT Personalization at scale synthetic content data-driven creativityThe AI Gold Rush in Healthcareof AI-mature healthcare organizations reported improved performance year over year.AI can reduce U.S.heal

3、thcare costs by$150B/yearAI helps personalized health campaigns increase engagement481%41%$150BHealth IT News,McKinsey&Company,Swoop Accenture,“AI:Healthcares New Nervous System”Campaign Monitor,“The Power of Personalization”How would you describe your current use of AI in healthcare marketing?6When

4、 AI Goes Wrong6 2024,Sitecore A/S or a Sitecore affiliated company7Whats your biggest fear when using AI in marketing?“These arent just best practicestheyre patient safeguards.”Responsible AI=4 Pillars9 2024,Sitecore A/S or a Sitecore affiliated company10Diversity in who builds AI=diversity in who b

5、enefits from it._“Ethical AI starts with human variety.”Pillar 1 PEOPLE 1112Responsible process=fewer surprises and more success._“Process is your patient safety net.”Pillar 2 PROCESS13Clear governance prevents blurry ethics._“Governance isnt a blockerits your guardrail.Pillar 3 GOVERNANCE14People d

6、ont fear AIthey fear hidden AI._“Transparency turns black-box AI into a glass box.”Pillar 4 TRANSPARENCYAccording to recent research,what percentage of health-related videos on TikTok were found to contain non-factual or misleading information?2024,Sitecore A/

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根据报告的内容,全文主要内容概括如下: - **AI在医疗保健中的影响**: - AI成熟的医疗保健组织每年性能提升。 - AI可减少美国医疗保健成本1500亿美元。 - AI帮助个性化健康活动提高参与度81%。 - **AI在医疗保健营销中的应用**: - 使用生成式AI来增强而非仅仅扩展内容。 - 负责任的AI需要遵循四个支柱:PEOPLE(人)、PROCESS(流程)、GOVERNANCE(治理)、TRANSPARENCY(透明度)。 - **关键点**: - 人工智能的伦理使用需要多样性和透明度。 - 生成式AI可用于创建患者友好的总结和解释,但要确保准确性和无偏见。 - 需要包括多样化的声音,构建跨职能团队,并使用易于理解的措辞。 - 定期审查AI生成的内容,并添加免责声明。 - 提供联系链接和链接到可信来源,以建立信任。
如何确保伦理?" 如何避免误导信息?" 如何打造患者信任?"
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