To examine healthcare professionals' perspectives on the integration of artificial intelligence (AI) in mental health services.
Approach:
Review Methodology: A scoping review was conducted to gather insights on clinicians' views regarding AI in mental health care.
Key Findings:
Clinicians' trust and understanding of AI limitations are crucial for its acceptance in mental health care.
Concerns exist regarding professional responsibility, patient autonomy, and the maintenance of human-centered care when implementing AI.
The sensitive nature of mental health information raises issues of confidentiality and data security.
Interpretation:
Clinicians act as gatekeepers for AI implementation, and their attitudes significantly influence the adoption of AI tools in mental health services.
Limitations:
Previous reviews have primarily focused on AI's technical applications rather than clinicians' perspectives.
The review may not encompass all relevant studies on AI in mental health care, particularly those addressing clinician attitudes and experiences.
Conclusion:
Understanding clinicians' perspectives is essential for determining the acceptability of AI in mental health care and identifying suitable domains for AI assistance.
