Aysun Yağci Şentürk, Atiye Kaş Özdemir
Validity and Reliability of the Palliative Care Knowledge Scale
Omega
artificial intelligence ai transforming mental health care environment ai tools increasingly accessed clients service users mental health professionals must prepared use ai also conversations delivering care despite potential ai enable efficient reliable higherquality care delivery persistent gap among mental health professionals adoption ai needs assessment conducted among mental health professionals 1 understand learning needs workforce attitudes toward ai 2 inform development ai education curricula knowledge translation products qualitative descriptive approach taken explore needs mental health professionals regarding adoption ai semistructured interviews reach maximum variation sampling mental health professionals eg psychiatrists mental health nurses educators scientists social workers various settings across ontario eg urban rural public private sector clinical research recruited total 20 individuals recruited participants included practitioners 920 45 social workers 120 5 mental health nurses educator scientists 520 25 dual roles professorslecturers researchers practitioner scientists 320 15 dual roles researchers psychiatrists 220 10 dual roles researchers mental health nurses four major themes emerged 1 fostering practice change building selfefficacy integrate ai patient care 2 promoting systemlevel change accelerate adoption ai mental health 3 addressing importance organizational readiness catalyst ai adoption 4 ensuring mental health professionals education knowledge skills harness ai optimizing patient care ai technologies starting emerge mental health care although many digital tools webbased services mobile apps designed using ai algorithms mental health professionals generally slower adoption ai indicated studys findings implications 3fold individual level digital professionals must see value digitally compassionate tools retain humanistic approach care mental health professionals resistance toward ai adoption must acknowledged educational initiatives raise awareness relevance practicality benefits ai organizational level digital professionals leaders must collaborate governance funding structures promote employee buyin societal level digital mental health professionals collaborate creation formal ai training programs specific mental health address knowledge gaps study promotes design relevant sustainable education programs support adoption ai within mental health care sphere