Strategic Priority 4: Strengthen integrated health information systems and evidence-based decision making
Building comprehensive data ecosystems to enable evidence-based decision-making across priority programmatic areas internally and externally
Our Data and MLE Strategy Framework
Adopts a value chain lens to strengthen the data ecosystems and enable evidence-based decision-making across priority programmatic areas, integrating geospatial capabilities for enhanced analysis and insights
1. COVERAGE METRICS
Improve capacity and resourcing of national and provincial government bodies to generate health mortality estimates, health and financial health coverage
National Health Surveys
Launch province-wide health surveys in key provinces by Q1 2027 to provide local-level data on reproductive, maternal, newborn, and child health services
Financial Health Coverage
Provide technical expertise to support health financing analysis and transition of health financing survey collection, management and analysis to government stakeholders
Population Estimates
Support development of accurate population estimates and demographic data for health planning and service delivery optimization
2. FUNCTIONAL SYSTEMS
Improve the capacity of government stakeholders to manage routine functional data systems, crucial to improving health service availability
DHIS2 Implementation
Provide technical support to advance DHIS2 implementation with geospatial integration and support mapping of health facilities and services
Supply Chain Systems
Support implementation of logistics management information systems (LMIS) for vaccine, malaria commodities, and essential medicines tracking
Health Facility Registry
Develop comprehensive health facility master list with geospatial coordinates and service availability mapping
3. INDEPENDENT SERVICE CHECKS
Strengthen quality and reliability of routine data systems through independent verification and validation mechanisms
Health Facility Census
Conduct baseline health facility census in Kinshasa and provinces to provide supply-side data for health program planning
Service Availability Assessment
Implement regular service availability and readiness assessments with geospatial analysis capabilities
Data Quality Audits
Establish routine data quality assessment and improvement processes with real-time feedback mechanisms
Detailed Implementation Components
4. OPENNESS AND ACCESS - Partner with MDAs and stakeholders to strengthen data analytics INTEGRATION
Data Integration Platforms
Develop interoperable data platforms linking health, demographic, and geospatial data
Implement data sharing agreements between government agencies and development partners
Create standardized data dictionaries and metadata frameworks for cross-sector compatibility
Establish data governance frameworks ensuring ethical use and privacy protection
Analytics and Triangulation
Build capacity for advanced data analytics including predictive modeling and machine learning
Implement real-time data triangulation systems for outbreak detection and response
Develop automated alert systems for health program performance monitoring
Create interactive dashboards for multi-level decision making
External Partnerships
Partner with academic institutions for research collaboration and capacity building
Engage private sector partners for innovative data solutions and technologies
Collaborate with regional and global health data networks
Participate in international data sharing initiatives for cross-border health security
Capacity Building
Train government staff in advanced data analysis and visualization techniques
Develop data literacy programs for health workers at all levels
Establish mentorship programs with international data science experts
Create data analysis certification programs for sustainable capacity
5. FIELD BUILDING - Build evidence and insights to inform monitoring and evaluation of impact EVIDENCE
Surveillance Systems
Launch integrated disease surveillance systems including maternal mortality surveillance
Implement behavioral surveillance for health program effectiveness monitoring
Develop community-based surveillance networks with mobile data collection
Establish environmental surveillance for disease prevention and control
Research and Evaluation
Conduct impact evaluations of key health interventions using rigorous methodologies
Support operational research for program optimization and improvement
Implement longitudinal cohort studies for health outcome tracking
Develop cost-effectiveness analyses for evidence-based resource allocation
Innovation and Learning
Pilot innovative data collection methods including mobile health technologies
Test artificial intelligence applications for health data analysis
Explore blockchain technologies for secure health data management
Implement adaptive learning systems for continuous program improvement
Knowledge Management
Develop comprehensive knowledge management systems for lessons learned
Create evidence repositories and best practice databases
Establish knowledge sharing platforms with other countries and regions
Support evidence-to-policy translation mechanisms
6. INTERNAL INSIGHTS - Build internal Foundation Data knowledge assets to guide program design FOUNDATION
Program Performance Data
Update foundation databook leveraging recent data and modeling for DRC context
Develop program-specific performance indicators and measurement frameworks
Implement real-time program monitoring and adaptive management systems
Create predictive models for program impact forecasting
Operational Intelligence
Develop operational data systems for grant and program management
Implement portfolio analysis tools for strategic decision making
Create risk assessment and mitigation frameworks
Establish partner performance monitoring and evaluation systems
Strategic Learning
Conduct regular strategy reviews and course corrections based on data insights
Implement learning agendas for continuous strategy improvement
Develop scenario planning tools for strategic forecasting
Create innovation pipeline management systems
Global Learning
Contribute DRC experiences to global health knowledge base
Participate in global learning networks and communities of practice
Share lessons learned through publications and presentations
Support South-South learning and knowledge exchange
Data Value Chain Implementation Framework
DATA COLLECTION
Strengthen data collection systems with mobile technologies, geospatial integration, and quality assurance
DATA PROCESSING
Implement automated data processing, cleaning, and validation with real-time quality checks
DATA ANALYSIS
Build advanced analytics capabilities including geospatial analysis, predictive modeling, and AI applications
DATA VISUALIZATION
Create interactive dashboards, maps, and reports for multi-level decision making and communication
DATA USE
Ensure evidence-based decision making, policy development, and program optimization across all levels
Expected Outcomes and Better Allocation of Resources
Timely Availability of Higher Quality Data
Real-time health data available for decision making with 95% completeness and accuracy across all health zones by 2027
Improved Access to Data Analytics
Functional data analytics platforms accessible to decision makers at national, provincial, and health zone levels
Enhanced Communication Tools
Interactive dashboards and visualization tools available for program monitoring, public reporting, and stakeholder engagement
Strengthened Data Use Culture
100% of health programs using data for planning, implementation, and evaluation by 2028
Evidence-Based Resource Allocation
Health resources allocated based on evidence and data-driven prioritization across all programs and geographic areas
Better Health Impact Outcomes
Improved health outcomes through evidence-based interventions, early warning systems, and adaptive program management
Sustainable Data Systems
Government-owned and operated data systems with sustainable financing and technical capacity
Regional Data Leadership
DRC serving as regional leader in health data systems and evidence-based decision making
Innovation and Learning
Continuous innovation in data systems and analytics contributing to global health knowledge and best practices