A perspective on developing an AI-driven digital triage platform for chronic disease mental health: insights and potential from My-E-Health

Chronic illnesses, such as diabetes and chronic kidney disease (CKD), impose a substantial global burden, affecting hundreds of millions of people and straining healthcare systems. Managing these conditions involves not only physical challenges but also considerable psychosocial distress. Patients with complex treatment regimens—frequent medical appointments, dietary restrictions, and potential complications—often experience depression, anxiety, and reduced quality of life, all of which can impede treatment adherence and worsen clinical outcomes. Research, including meta-analyses in dialysis and diabetes populations, indicates that psychosocial interventions and integrated mental health support can improve quality of life, glycaemic control, and emotional well-being. Despite the clear value of mental health integration, current in-person care models face significant limitations. Scarcity of trained mental-health professionals, geographical barriers, financial constraints, and social stigma frequently preclude timely psychosocial support. Consequently, many patients with chronic conditions receive inadequate mental-health care, compromising overall treatment success. This perspective outlines how a digital mental-health triage solution—supported by platforms like My-E-Health—could leverage artificial intelligence (AI). By embedding routine assessments, such as the Empowerment for Participation (EFP) mini, into chronic-disease management, patients can be screened more frequently for emotional distress. AI algorithms would then stratify patients into low-, moderate-, or high-risk categories and deliver tailored interventions. Moderate-risk patients could receive AI-guided coaching and self-management tools, while high-risk patients would be promptly linked to clinicians for intensive therapy. This approach optimises resource allocation, directing professional attention to the most vulnerable patients. Integrating AI-driven digital platforms—including telehealth portals and culturally sensitive, multilingual interfaces—may enable real-time monitoring, early intervention, and sustained patient engagement. Recent studies suggest that expanding telehealth options can reduce access barriers and stigma, encouraging patients to seek help. Further investigations—particularly longitudinal studies—are warranted to confirm sustained clinical benefits, cost-effectiveness, and scalability across diverse healthcare contexts. With continued improvements in AI-driven screening tools and patient-centred design, a well-implemented digital mental-health triage solution could make chronic disease care more holistic, sustainable, and effective.