Digital Innovation Through Early Detection Skills for Adolescent Mental Health in School Environments

Abstract

Digital technology has emerged as a promising tool to overcome barriers to accessing mental health services, reduce stigma, and increase flexibility in early detection, particularly among school adolescents. This study aims to evaluate how digital technology contributes to the early detection of mental health issues, serving as a preventive strategy against drug abuse and bullying in school environments. Using a qualitative approach through a literature review, the research examines recent studies on various digital tools such as online psychotherapy applications, mental health chatbots, and telemedicine. The findings suggest that these technologies significantly enhance access to mental health services, especially in low- and middle-income countries with limited traditional resources. Digital platforms enable early identification of issues like anxiety and depression, improving intervention opportunities before problems escalate. However, several challenges need to be addressed, including ensuring technological accuracy, improving user competencies, and establishing comprehensive regulatory frameworks. The study highlights the importance of cross-sector collaboration, particularly between educators, health professionals, and policymakers, to ensure effective implementation. Recommendations include teacher training and the development of inclusive, user-friendly platforms that are adaptable to various educational contexts. Addressing these challenges is crucial for maximizing the potential of digital tools in supporting mental health initiatives in schools.