Submitted
2025 Global Health Challenge

AI Health Campaign Integration

Team Leader
Lilianna Bagnoli
Our solution builds on the Health Campaign Effectiveness Coalition’s Collaborative Action Strategy (CAS), leveraging generative AI to advance integrated health campaigns—especially in remote areas where integration improves coverage. We will develop tools at two levels: national planning and frontline service delivery. At the national level, we will create an LLM-based AI assistant that provides campaign planners with natural language access...
What is the name of your organization?
Dimagi, Inc.
What is the name of your solution?
AI Health Campaign Integration
Provide a one-line summary or tagline for your solution.
An AI-enabled platform for integrated campaign planning
In what city, town, or region is your solution team headquartered?
Cambridge, Massachusetts
In what country is your solution team headquartered?
USA
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
Despite shared goals of improving health outcomes in LMICs, major global health programs often operate in silos. Campaigns for immunization, vitamin A distribution, malaria prevention, TB screening, and NTD drug delivery are typically planned independently—even when targeting the same populations and geographies. This leads to redundant spending on logistics, workforce mobilization, and community engagement, while straining already overburdened health systems and frontline workers. If we consider just five priority areas—NTDs, malaria, polio, vaccine-preventable diseases (VPDs), and nutrition—an estimated 2.4 billion people receive services annually through campaigns or routine delivery, with the majority reached via campaigns. Yet these campaigns are often fragmented and duplicative. Recent funding cuts, particularly from historically reliable sources like the U.S. government, have made it harder to sustain standalone campaigns. Without tools for coordination, countries risk missing coverage targets, delaying interventions, and losing community trust. At the same time, new health shocks—like COVID-19, conflict, or climate-related disasters—demand rapid, integrated responses that siloed planning systems cannot support. Our solution addresses this gap by enabling smarter, more coordinated use of limited resources through AI-enabled planning and frontline support tools.
What is your solution?
Our solution builds on the Health Campaign Effectiveness Coalition’s Collaborative Action Strategy (CAS), leveraging generative AI to advance integrated health campaigns—especially in remote areas where integration improves coverage. We will develop tools at two levels: national planning and frontline service delivery. At the national level, we will create an LLM-based AI assistant that provides campaign planners with natural language access to data, guidelines, and planning tools. It can answer questions like: “Which districts are targeted by malaria and immunization campaigns in Q3?” “What increase in coverage might result from integrating bed net distribution with seasonal malaria chemoprevention?” “What supply chain gaps might affect campaign delivery in region X?” The assistant will reduce planning burdens, summarize guidance, support scenario modeling, and identify cost and efficiency gains to help stakeholders mobilize funding. Its conversational interface will enable more flexible decision-making than current static dashboards. At the frontline level, we will deploy an AI-powered chatbot that allows health workers to access cross-campaign protocols, escalate challenges, and receive real-time coaching and feedback—improving coordination, training, and service quality for successful integrated campaign delivery.
Who does your solution serve, and in what ways will the solution impact their lives?
Our solution serves three key groups: national and sub-national health campaign planners, frontline health workers, and the communities who receive campaign-delivered services. Campaign planners are responsible for coordinating complex, multi-program activities but often work in silos with fragmented data and unique priorities. Our AI assistant will reduce their planning burden, improve cross-program data use, and help identify opportunities for collaboration and cost-efficiency—leading to better-coordinated, more impactful campaigns. Frontline health workers are critical for campaign delivery but face challenges such as being overburdened with work and insufficient training. Our AI-powered chatbot will give them easy access to protocols, provide on-the-job coaching, and help resolve delivery challenges—improving service quality and worker experience. Ultimately, these improvements will benefit underserved communities—often in remote or resource-limited settings—who rely on health campaigns for essential services like vaccinations, malaria prevention, and deworming. By increasing the reach, timeliness, and effectiveness of campaigns, our solution ensures more people receive the care they need, when they need it.
Solution Team:
Lilianna Bagnoli
Lilianna Bagnoli