Name
Future Role of AI in Making Ethical Decisions in End-of-Life Care: Pros and Cons
Speakers
Content Presented on Behalf of
VHA/VA
Services/Agencies represented
Veterans Health Administration/Veterans Affairs (VHA/VA)
Session Type
Posters
Room#/Location
Prince Georges Exhibit Hall
Focus Areas/Topics
Clinical Care, Medical Technology, Policy/Management/Administrative
Learning Outcomes
• Attendees will learn how AI analyzes complex patient data to provide evidence-based recommendations that improve decision-making in end-of-life care and enhance accuracy in treatment choices.
• Explore how AI can customize care plans that integrate medical data with a patient's values and ethical preferences. This ensures that end-of-life care aligns with the patient's wishes, optimizing comfort and dignity while adhering to consistent ethical principles.
• Attendees will understand how AI can mitigate human biases that may influence end-of-life decisions by focusing on data and ethical frameworks. AI ensures that moral standards are applied consistently across cases, reducing variability caused by subjective human interpretation.
• Learn how AI can support families and caregivers by offering clear, data-backed insights, predicting outcomes, and alleviating the emotional burden of decision-making in end-of-life care. AI can clarify the consequences of different choices, aligning them with the patient's wishes.
• Attendees will explore AI's challenges, including the risk of depersonalization, data privacy concerns, and legal accountability. Understanding AI systems' limitations and potential hazards, such as data breaches and the ambiguity of liability in ethical decisions, will help shape responsible AI integration in healthcare.
• Explore how AI can customize care plans that integrate medical data with a patient's values and ethical preferences. This ensures that end-of-life care aligns with the patient's wishes, optimizing comfort and dignity while adhering to consistent ethical principles.
• Attendees will understand how AI can mitigate human biases that may influence end-of-life decisions by focusing on data and ethical frameworks. AI ensures that moral standards are applied consistently across cases, reducing variability caused by subjective human interpretation.
• Learn how AI can support families and caregivers by offering clear, data-backed insights, predicting outcomes, and alleviating the emotional burden of decision-making in end-of-life care. AI can clarify the consequences of different choices, aligning them with the patient's wishes.
• Attendees will explore AI's challenges, including the risk of depersonalization, data privacy concerns, and legal accountability. Understanding AI systems' limitations and potential hazards, such as data breaches and the ambiguity of liability in ethical decisions, will help shape responsible AI integration in healthcare.
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