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健康科技平衡:数字时代视角下的创新、治理与合规平衡.pdf

上传人: 探** 编号:711743 2025-06-04 18页 888.28KB

1、Healthtech Equilibrium:Balancing Innovation,Governance and Compliance1Prof Kee Yuan Ngiam Prof Kee Yuan Ngiam MBBS(Lond),MRCS(Glasg),Mmed(Surg),FRCS(Edin)MBBS(Lond),MRCS(Glasg),Mmed(Surg),FRCS(Edin)Senior Consultant and Senior Consultant and Head,AI OfficeHead,Division of Biomedical Informatics,NUS

2、Head,Division of Biomedical Informatics,NUS Division of Thyroid and Endocrine SurgeryDivision of Thyroid and Endocrine SurgeryDepartment of Surgery Department of Surgery National University Hospital SingaporeNational University Hospital SingaporeRestricted,Sensitive(Normal)Artificial Intelligence vs

3、 Augmented Intelligence2“Augmented Intelligence refers to the effective use of information technology in augmenting human intelligence rather than to replace it.”“Artificial Intelligence is the capability of a machine to imitate intelligent human behaviour”Ethics and Healthcare Digitisation 3 Ethics

4、 of Healthcare Digitisation:The Importance of Trust and Validation Artificial Intelligence vs Augmented Intelligence Building Ethics into AI Through Addressing Data Bias Doctors are Still Responsible Self-learning Machines ContentsEthics of Healthcare Digitisation:The Importance of Trust and Validat

5、ion4Ethics and Healthcare Digitisation 5Digitisation is required to solve the healthcare problems Digitisation of healthcare is inevitable to address efficiency and quality of care Availability of electronic health records have improved care coordination Telehealth is used to deliver care remotely,e

6、specially during the pandemic Data can also be used to build AI models that predict outcomes New large language models add novel capabilities that can be applied to healthcare use cases These technologies are met with new ethical challenges to their appropriate use These ethical challenges should be

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本文主要讨论了医疗健康技术平衡创新、治理和合规性的问题。核心数据包括人工智能与增强智能的定义,以及在医疗数字化中伦理的重要性。以下是关键点: 1. 数字化医疗是提高效率和质量的必然趋势,电子健康记录和远程医疗得到了广泛应用。 2. 人工智能工具在医疗领域的应用日益增多,但其有效性和安全性需经过严格测试和验证。 3. 伦理框架的关键原则包括职业诚信、正义、公共利益、程序价值、透明度和问责制。 4. 数据偏见是人工智能面临的问题,需通过提高问责制和透明度来解决。 5. 尽管存在AI辅助决策系统,医生仍需对患者的护理负责。 6. AI模型的有效性需要通过严格的验证和临床试验来确立。 7. 监管框架如FDA和新加坡HSA的指导方针,为医疗AI提供了安全和有效性的保障。
"数字化医疗的伦理困境?" "AI在医疗中的监管挑战有哪些?" "医生在AI辅助决策中的责任多大?"
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