The Indian Council of Medical Research's digital mental healthcare platform, ICMR-MINDS, has won the Gold Award at the National Awards for e-Governance 2026. The award specifically recognises the platform's use of artificial intelligence to expand access to mental healthcare through citizen-centric service delivery.
The Department of Administrative Reforms and Public Grievances (DARPG) under the Ministry of Personnel, Public Grievances and Pensions conferred the honour in the category "Innovation by Use of AI and Other New Age Technologies for Providing Citizen-Centric Services." Union Minister of State Dr. Jitendra Singh presented the award on July 1 during the 29th National Conference on e-Governance (NCeG) 2026 in Jaipur, Rajasthan.
At its core, ICMR-MINDS is a National Health Research Priority project that integrates mental health and substance use disorder screening with treatment for other non-communicable diseases. The platform uses an AI-enabled Clinical Decision Support System (CDSS) to help trained frontline healthcare workers deliver standardised mental health screening, assessment, follow-up care, and routine management. The digital guidance reduces reliance on mental health specialists without sacrificing evidence-based protocols.
How the clinical decision support system works
The platform provides standardised digital screening and assessment workflows, role-based clinical guidance, multilingual interfaces, and offline functionality for areas with limited connectivity. Gamified features aim to improve user engagement, while real-time administrative dashboards let health authorities monitor service delivery and strengthen programme implementation. These tools sit within a continuity-of-care framework that includes structured referrals and two-way back-referral mechanisms.
The referral architecture allows patients with stable conditions to receive follow-up care at nearby health facilities. Specialists can then focus on more complex cases. According to ICMR, this design optimises specialist resources, supports frontline healthcare providers, improves treatment adherence, and reduces patient dropout. The approach also eases pressure on tertiary healthcare institutions - a persistent bottleneck in India's public health system. For government agencies exploring similar deployments, this model illustrates what AI for Government looks like in practice.
Where the platform is being deployed
The initiative is currently active across seven states through seven collaborating institutions: AIIMS Guwahati in Assam, Gujarat Institute of Mental Health in Ahmedabad, AIIMS New Delhi for Haryana, St. John's Medical College in Bengaluru, AIIMS Bhopal in Madhya Pradesh, AIIMS Bhubaneswar in Odisha, and PGIMER Chandigarh for Punjab. State Health Departments in each region work alongside district health authorities, mental health and non-communicable disease programme teams, and field staff to implement the project.
Dr. Rajiv Bahl, Secretary of the Department of Health Research and Director General of ICMR, said the organisation would continue to develop "scalable, data-driven technology solutions to address complex public health challenges." He added that ICMR remains committed to providing "affordable, standardised and high-quality healthcare platforms for people across the country."
Why this matters for healthcare professionals
ICMR-MINDS shifts a portion of mental healthcare delivery from specialists to trained frontline workers - a task-shifting model that changes how clinical capacity is distributed across the health system. For healthcare administrators and programme managers, the platform demonstrates how AI for Healthcare can support structured screening and follow-up workflows without requiring continuous specialist oversight. The built-in dashboards also give district and state-level teams a clearer view of service delivery metrics in near real time.
For clinicians in tertiary care, the back-referral mechanism means more bandwidth for complex cases. For community health workers, the CDSS provides point-of-care decision support that mirrors what a supervising clinician might advise - standardising quality across geographies with very different levels of specialist access. The rollout across seven states offers a practical reference for teams designing or scaling AI-assisted public health programmes elsewhere in the country.
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