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Could artificial intelligence write mental health nursing care plans?
Samuel Woodnutt1, Chris Allen1, Jasmine Snowden1
1School of Health Sciences, University of Southampton, Southampton, Hampshire, UK.
Journal of Psychiatric and Mental Health Nursing
|August 4, 2023
Summary
Artificial intelligence (AI) can generate mental health care plans, but significant errors and ethical issues pose risks. Until AI is safer and policies are in place, its use in direct care delivery should be avoided to prevent patient harm.
Area of Science:
- Nursing
- Mental Health
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly prevalent in healthcare discussions.
- AI platforms like ChatGPT can generate text outputs that mimic human writing.
- The application of AI, specifically ChatGPT, in direct mental health care delivery remains largely unexplored.
Purpose of the Study:
- To evaluate the quality of a mental health nursing care plan generated by artificial intelligence (ChatGPT).
- To assess the potential risks and limitations of using AI in mental health care delivery.
Main Methods:
- Inputting basic text commands into ChatGPT regarding a fictitious patient with self-injurious behavior.
- Evaluating the AI-generated care plan against authors' clinical experience and national care guidance.
Main Results:
- ChatGPT produced a care plan incorporating some dialectical behavior therapy principles.
- The AI-generated plan contained significant errors and limitations, indicating a potential for harm.
- Superficially reasonable AI outputs risk errors going unnoticed.
Conclusions:
- AI use in direct mental health care delivery poses a risk of harm due to errors and ethical issues.
- Current AI sophistication and lack of policy/guidance necessitate avoidance of AI in direct care.
- Further research is required to establish safe AI integration into mental health care, prioritizing patient well-being and clinician-recipient engagement.
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