The Human Impact of AI on Patient Care: Clinical, Cognitive, and Ethical Implications
The Human Impact of AI on Patient Care: Clinical, Cognitive, and Ethical Implications
Information
Date & Time
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Learning Objectives
Participants will be able to:
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Explain how predictive AI systems operate and differ from rule-based software.
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Describe behavioral health risks associated with AI companionship and conversational AI.
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Identify at least two patient populations more vulnerable to AI-related harms.
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Apply at least one harm-reduction strategy and at least one clinical documentation practice when addressing AI use in patient care.
Educational Goal
Description
AI is changing how patients seek information, connection, and mental health support, making it increasingly relevant to clinical practice. This webinar explores the clinical, cognitive, and ethical implications of predictive and conversational AI, including the growing use of AI for companionship and emotional support.
We will examine emerging psychological risks, potential effects on patient behavior, relationships, and clinical outcomes, and populations that may be more vulnerable to AI-related harms. You will gain practical strategies for discussing AI use with patients, identifying concerns, documenting relevant clinical information, and applying harm-reduction approaches while preserving human judgment and the therapeutic relationship at the center of care.
Target Audience
- Addiction Professional
- Counselor
- Marriage & Family Therapist
- Nurse
- Physician
- Psychologist
- Social Worker
Presenters
Financially Sponsored By
- Lavender