{
  "abstract": "Aim\n\nTo explore mental health and addiction care professionals' views on integrating artificial intelligence into clinical practice at a tertiary psychiatric hospital.Design\n\nA qualitative descriptive study.Methods\n\nPurposive 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\n\nFour 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\n\nParticipants 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\n\nNo patients or members of the public were involved in the design, conduct, analysis, interpretation, or reporting of this study. The participants were healthcare professionals.",
  "abstract_shown": true,
  "affiliations": [
    "Community and Mental Health Department, College of Nursing, Sultan Qaboos University, Muscat, Oman.",
    "College of Nursing, Sultan Qaboos University, Muscat, Oman."
  ],
  "article_type": "methods article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Khalood Rashid Al-Abri",
      "orcid": "0000-0002-3313-377X"
    },
    {
      "affs": [
        1
      ],
      "name": "Amal Ali Al Saadi"
    },
    {
      "affs": [
        1
      ],
      "name": "Alzahraa Yasir Al Rashdi"
    },
    {
      "affs": [
        1
      ],
      "name": "Jamila Mohammed Al Nasseri"
    },
    {
      "affs": [
        1
      ],
      "name": "Ali Khalid Al Mashaykhi"
    },
    {
      "affs": [
        1
      ],
      "name": "Alyamama Obaid Al Maqbali"
    },
    {
      "affs": [
        0
      ],
      "name": "Samia Salim Alharrasi",
      "orcid": "0009-0002-9515-8654"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f9t3sgfhbh18e.bib",
  "cited_by": 0,
  "doi": "10.1002/nop2.70939",
  "fulltext_url": "https://europepmc.org/articles/PMC13716079",
  "id": "f9t3sgfhbh18e",
  "issns": [
    "2054-1058"
  ],
  "landing_url": "https://europepmc.org/article/MED/42949827",
  "language": "eng",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Empirical Research Quantitative"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7224124742",
  "pdf_url": "https://europepmc.org/articles/PMC13716079?pdf=render",
  "pmcid": "PMC13716079",
  "pmid": "42949827",
  "published": "2026-10-01",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/f9t3sgfhbh18e.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T00:20:35Z",
      "native_id": "MED:42949827",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42949827"
    },
    {
      "first_seen": "2026-11-01T12:23:11Z",
      "native_id": "PMC13716079",
      "source": "pmc",
      "url": "https://doi.org/10.1002/nop2.70939"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study.",
  "title_text": "Mental Health and Addiction Care Professionals' Views on Artificial Intelligence Integration in Oman: A Descriptive Qualitative Study.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T12:23:11Z",
  "url": "https://research.draconitic.com/paper/f9t3sgfhbh18e",
  "venue": "Nursing open",
  "versions": []
}