Theme 2 · ACGMH 2027

Innovations in Digital Mental Health, AI, and Task-Sharing Models

Examining how rapid advances in digital technology and scalable service delivery models are transforming access to mental health care — particularly in low-resource and underserved settings across Africa.

7 - 9 April 2027Digital Innovation & Technology

Overview

About This Theme

This theme is part of the broader conference focus on community-based mental health systems, innovation, equity, and resilience across Africa and low- and middle-income countries.

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Across Africa and globally, the combination of digital tools and task-sharing approaches is redefining what is possible — expanding reach, reducing costs, improving supervision, and enabling timely, data-informed care.

At the same time, these innovations raise critical questions about quality, ethics, equity, and the role of human connection in care. This theme invites rigorous exploration of how technology and non-specialist delivery systems can work together to create effective, safe, and culturally grounded mental health services.

The future of mental health care will not be purely clinical nor purely technological — but a deliberate integration of both, grounded in human-centered design and community realities.

Significance

Why This Theme Matters

This theme addresses urgent and interconnected challenges in mental health systems, with direct implications for research, policy, practice, and communities.

Expands access: digital platforms and task-sharing enable services to reach populations that traditional systems cannot.

Addresses workforce shortages: non-specialist providers supported by digital tools can deliver evidence-based care.

Improves efficiency and supervision through remote systems enabling continuous oversight and quality assurance.

Supports early identification through digital screening and monitoring for faster detection of distress and risk.

Enables blended care models (digital + human) as new pathways for intervention at scale.

Raises essential ethical considerations around data privacy, algorithm bias, and the limits of automation.

Key Areas of Focus

Areas of Exploration

Submissions may address any of the following focus areas, or propose related topics aligned with the conference vision.

Artificial Intelligence in Mental Health

AI-powered chatbots and conversational agents for screening and low-intensity support

Early detection through natural language processing and behavioral data

Risks: misdiagnosis, over-reliance, and lack of human judgment

Ethical considerations: privacy, consent, bias, accountability, and regulation

AI as augmentation — not replacement — of human care

Tele-Mental Health and Remote Supervision

Therapy and psychosocial support via phone, video, and messaging platforms

Expanding access in rural and hard-to-reach areas

Remote supervision of lay providers and community health workers

Hybrid models combining in-person and remote care

Digital Screening, Monitoring, and Data

Mobile-based screening tools for depression, anxiety, trauma, and suicide risk

Integration of mental health data into electronic medical records (EMRs)

Integration with national health information systems (DHIS2)

Real-time monitoring of symptoms and treatment outcomes

Task-Sharing and Lay-Provider Models

Scaling evidence-based interventions through non-specialists (IPT-G, PM+, FHS)

Training, certification, and supervision systems for lay counselors

Role of peer supporters and community volunteers

Ensuring fidelity while adapting to local contexts

Human - Technology Interaction

Designing digital tools that enhance — not replace — human connection

Balancing automation with empathy and relational care

User-centered design for low-literacy and diverse populations

Cultural adaptation of digital interventions

Cross-Cutting Considerations

Key Considerations

Equity and Inclusion

Who is being left out of digital mental health innovations?

Ethics and Safeguarding

Protecting vulnerable users in digital environments

Data Governance

Ownership, storage, and responsible use of mental health data

Scalability vs Quality

Maintaining care standards while expanding reach

Digital Literacy

Supporting both providers and users to effectively engage with technology

Guiding Questions

Key Questions for Exploration

How can AI be used responsibly in mental health care without compromising safety and quality?

What models best combine digital tools with human-delivered care?

How can task-sharing be optimized to maintain fidelity while scaling interventions?

What are the ethical boundaries of digital mental health in low-resource settings?

How can digital systems be designed to serve marginalized and low-literacy populations?

What is the future balance between human care and technological support?

What We Invite

Expected Contributions

Empirical studies on digital mental health interventionsEvaluations of task-sharing models at scaleEthical analyses of AI and digital tools in mental healthImplementation research on hybrid care modelsCase studies from Africa and other LMICsInnovations in supervision, training, and digital integration

Strategic Importance

Why This Matters for the Conference

This theme positions the conference at the intersection of innovation, scalability, and ethics. It acknowledges that the future of mental health care will be a deliberate integration of digital and human approaches, grounded in human-centered design and community realities.

Ready to contribute?

Submit your abstract for Theme 2

ACGMH 2027Africa at the Center of Global Mental Health Conference  ·  Kampala, Uganda© 2027 Makerere University