Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study
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Khalood Rashid Al-Abri1, Amal Ali Al Saadi2, Alzahraa Yasir Al Rashdi2
1Community and Mental Health Department, College of Nursing, Sultan Qaboos University, Muscat, Oman.
Aim:
To explore mental health and addiction care professionals' views on integrating artificial intelligence into clinical practice at a tertiary psychiatric hospital.
Design:
A qualitative descriptive study.
Methods:
Purposive sampling recruited 17 nurses, psychiatrists, psychologists, and social workers. Face-to-face semi-structured interviews were audio-recorded, transcribed verbatim, translated from Arabic into English, and analysed through codebook-based thematic analysis informed by Braun and Clarke's six phases.
Results:
Four themes were identified: variable familiarity with artificial intelligence (AI); actual experience with artificial intelligence and non-artificial-intelligence digital technologies, with telemedicine and electronic health records more common than AI-specific tools; anticipated benefits involving efficiency, clinical decision support, communication, data management, and service access; and anticipated barriers concerning infrastructure, resources, training, clinical suitability, therapeutic relationships, and ethics.
Conclusion:
Participants were cautiously optimistic but had limited direct clinical experience and sometimes conflated AI with other digital technologies. Safe implementation requires a shared understanding of AI, reliable infrastructure, role-specific education, ethical governance, accountable human oversight, and protection of therapeutic relationships.
Patient Or Public Contribution:
No patients or members of the public were involved in the design, conduct, analysis, interpretation, or reporting of this study. The participants were healthcare professionals.
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