BRIDGING THE GAP: TVET, AI, AND COLLABORATIVE CARE IN THE FUTURE OF MENTAL HEALTH

Abstract

Artificial intelligence and tech-based education, including the TVET industry, are slowly giving new breath into mental health services by opening the system to the common man and how efficient and comprehensive it can be. This paper investigates the role of TVET, AI, and collaborative care in solving the worldwide mental health crisis. TVET trains professionals in practical skills, and adding AI training gives them the ability to utilize tools such as predictive analytics, virtual therapy, and individualized treatment planning. AI in essence aids in diagnostics, cuts down on administrative tasks, and helps providers manage patient-centered care more efficiently. Collaborative care models set upon AI-enabled communication and data sharing infrastructure help interdisciplinary teams coordinate and deliver comprehensive information services, particularly to underserved populations. Bringing together TVET, AI, and collaborative care can lead to novel, inclusive, and effective mental health-care systems. Where better-trained certification through such integration can lead to workforce readiness, equally cultures-responsive care can become a reality. Through case studies and literature reviews, the article exhibits how this multidisciplinary approach can fill gaps in mental health service delivery and lay the foundation for resilient and equitable support systems for the future.