Automated Digitalized Immunisation System (ADIS)
Origin language: English
Country
Nigeria
Coverage
Local
Nb of implementation sites
13
Lead organization
Implementation partners
Health Focus Area
Vaccination / Immunization
Services
Immunization
Decision Support
Enabling technologies
Cloud Computing
Low Code - No Code
Phone
Computer Vision
Software
Standards
BPPC - Basic Patient Privacy Consents
Mobile access to medical records
Statistical data and metadata exchange
Excel
Management of mobile communication alerts
JSON
Tools
Funding sources
Donors
Business model
Usage fee / pay per use
Subscription
Data monetization
Funders
Summary
ADIS is an evidence-based solution addressing Nigeria’s routine immunisation challenges by enhancing coverage, data quality, governance, and effectively reaching zero-dose children. This scalable digital innovation aims for nationwide adoption to accelerate universal immunisation coverage and safeguard all children. Key objectives include digitizing immunization data, strengthening health worker capacities, improving caregiver engagement, tracking defaulters, and reducing both zero-dose and under-immunisation rates. The initiative supports sustainable integration into routine immunisation systems, focusing on targeted populations including children under 5, children aged 5 to 11, pregnant women, rural communities, health professionals, and newborns.
Keywords
Access to care
Publications
AHITNigeria Health WatchInsights - Lessons learnt
Challenges
Challenges Identified: Digital literacy gaps among healthcare workers. Internet connectivity issues in rural PHCs. Lack of standardised unique identifiers for immunisation records. Low literacy among caregivers, limiting the effectiveness of SMS reminders.
Recommendations
Lessons Learned: Early stakeholder engagement fosters government ownership and scale-up readiness. Healthcare workers adapt quickly when given structured training and mentoring. Community Volunteers are indispensable for identifying defaulters and building trust. Technical support and blended digital-human approaches (e.g., Documentation Associates) are critical in low-connectivity settings.Standardised unique immunisation IDs are urgently needed to integrate fragmented records into a national database. Planned AI-Driven Upgrade - Building on the success of the pilot, ADIS will be enhanced with AI-driven features to improve efficiency, equity, and scalability:1.Predictive Analytics: AI models to forecast vaccine demand, identify high-risk zero-dose clusters, and guide vaccine stock planning. 2.Geospatial Mapping: Real-time mapping of immunisation coverage and zero-dose hotspots to optimise outreach strategies. 3.AI-Powered Chatbots: Interactive support in multiple local languages to engage caregivers, fathers, and community influencers with tailored health messages.4.Interactive Voice Response (IVR) & USSD Codes: Ensures inclusion of caregivers without smartphones or literacy skills.5.Data Quality Assurance: Automated error detection to reduce duplication and improve consistency of immunisation records.6. Integration with NHMIS: Seamless connection to NPHCDA’s national data system for harmonised reporting and decision-making.Policy Recommendations - 1.National Scale-Up of Electronic Immunisation Registers (EIRs) a.Institutionalise EIRs across all PHCs using the ADIS model. b.Integrate EIRs with antenatal care and birth registration systems for automatic newborn enrollment.2.Adopt a Unique Immunisation Identifier System: Collaborate with relevant stakeholders to develop and deploy a national unique ID for immunization tracking. This is essential for ensuring accurate, centralised, and interoperable tracking of children's vaccination records across facilities, LGAs and States, thereby eliminating duplication, improving defaulter follow-up, and enabling effective national planning.3.Strengthen Community Engagement Structures. a.Formalise the role of Community Volunteers (CVs) in immunisation programs. b.Provide incentives and digital tools to support outreach and defaulter tracking. c.Institutionalize digitalized defaulter tracking and zero-dose identification. 4.Invest in Digital Infrastructure and Offline Functionality. a.Equip PHCs with solar-powered devices and offline-capable EIR apps. b.Ensure consistent internet access through partnerships with telecom providers. 5.Enhance Capacity Building and Support Systems. a.Institutionalise regular training and refresher programs for healthcare workers and CVs. b.Establish state-level technical support hubs for digital health tools. 6.Support AI Integration: Endorse and support the development of the ADIS AI version upgrade. This will enable a data-driven, proactive approach to public health interventions, moving beyond reactive measures. 7.Leverage AI and Local Languages for Caregiver Engagement: Integrate voice-based reminders and AI-powered translation in local languages to improve caregiver comprehension and response.
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Any additional questions?
iDHA (Project ID)
yn9li5
Project links
https://www.ehainigeria.org/pfizer-ghig-8/Origin of information
Project stakeholder
Data source link
N/AAdded to the platform on
2026-02-23
Project editors
Last update by
Timothy Akinmurele on 2026-02-23
Number of views
71
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