Data Governance refers to the framework of policies, standards, processes, and accountability mechanisms used to ensure the quality, security, accessibility, integrity, and effective use of data across organizations and health systems.
DHIS2 (District Health Information Software 2) is a widely used open-source health information platform designed for collecting, managing, analyzing, and visualizing health data to support public health decision-making and system performance monitoring.
Advanced analytics in DHIS2 enables organizations to transform national health data into actionable insights through dashboards, indicators, predictive analysis, trend monitoring, geographic mapping, and data-driven reporting for evidence-based policy and strategic planning.
Many health systems collect large volumes of data but struggle to transform that information into meaningful insights for decision-making. Common challenges include poor data quality, fragmented reporting systems, inconsistent governance structures, limited analytical capacity, weak interoperability, and underutilization of national health data.
Additionally, decision-makers often lack the skills needed to interpret data trends, develop analytical dashboards, monitor key performance indicators, and use data effectively for policy formulation and resource allocation.
Without strong data governance and advanced analytical capabilities, health systems face reduced efficiency, delayed responses, weak accountability, and poor strategic planning outcomes.
This course equips participants with practical skills and strategic frameworks for strengthening data governance systems and leveraging DHIS2 advanced analytics for evidence-based policymaking.
Participants will learn how to improve data quality management, establish governance structures, design advanced dashboards, conduct trend analysis, develop indicators, visualize national health data, and generate actionable insights for health planning and decision-making.
The training also focuses on data security, interoperability, reporting automation, performance monitoring, and analytical techniques that strengthen health information systems and improve policy effectiveness.
Key Concepts Covered
• Foundations of data governance in health systems
• DHIS2 architecture and advanced functionalities
• Data quality management and validation
• Health data analytics and visualization
• Dashboard and indicator development in DHIS2
• Evidence-based policy and decision-making
• Data interoperability and integration frameworks
• Geographic information systems (GIS) and mapping
• Health information security and data privacy
• Monitoring, evaluation, and performance analytics
Participants will apply skills to:
• Strengthen national health data governance systems
• Improve data quality and reporting accuracy
• Develop advanced DHIS2 dashboards and analytics
• Conduct trend and performance analysis
• Support evidence-based health policy development
• Improve monitoring and evaluation systems
• Visualize health data for strategic decision-making
• Enhance health information interoperability and integration
By the end of the course, participants will be able to strengthen data governance frameworks, utilize DHIS2 advanced analytics effectively, improve national health data utilization, and support evidence-based policy and strategic healthcare decision-making.
Duration
5 Days
Who Should Attend
• Health information system managers
• DHIS2 administrators and analysts
• Ministry of Health officials and policymakers
• Monitoring and evaluation specialists
• Public health data analysts
• Health program managers and coordinators
• ICT and digital health professionals
• Researchers and epidemiologists
• Healthcare planners and decision-makers
• Development partners and NGO professionals
Individual Impact
• Strengthen health data governance expertise
• Improve DHIS2 analytics and reporting skills
• Enhance data visualization and interpretation capabilities
• Develop evidence-based policy analysis competencies
• Improve monitoring and evaluation effectiveness
• Build advanced health information management skills
Organizational Impact
• Improve health data quality and reliability
• Strengthen evidence-based decision-making processes
• Enhance national health reporting systems
• Improve health system accountability and transparency
• Strengthen monitoring and performance management
• Increase efficiency in data utilization and reporting
• Support strategic health planning and policy development
By the end of this course, participants will be able to:
• Understand principles of health data governance
• Strengthen data quality management systems
• Utilize advanced DHIS2 analytics and visualization tools
• Develop dashboards, indicators, and automated reports
• Conduct trend and performance analysis using DHIS2
• Improve health information interoperability and integration
• Apply data-driven approaches to policy development
• Strengthen health information security and privacy practices
• Use GIS and mapping tools for health data analysis
• Support evidence-based healthcare planning and decision-making
Module 1: Foundations of Data Governance and Health Information Systems
• Introduction to data governance frameworks
• Principles of health data management and stewardship
• Data quality dimensions and standards
• Governance structures, roles, and accountability
• Health information systems architecture and interoperability
• Exercise: Assessing health data governance gaps
• Case Study: Strengthening national health information systems
Module 2: DHIS2 Architecture and Advanced Functionalities
• Overview of DHIS2 platform capabilities
• Configuring DHIS2 data elements and indicators
• Data collection, validation, and aggregation processes
• Advanced DHIS2 reporting functionalities
• Data import, export, and interoperability features
• Practical: Configure advanced DHIS2 analytics tools
• Case Study: Scaling DHIS2 for national reporting systems
Module 3: Advanced Analytics, Dashboards, and Visualization
• Designing effective DHIS2 dashboards
• Indicator development and KPI monitoring
• Trend analysis and predictive analytics
• Data visualization techniques for decision-making
• GIS mapping and spatial health data analysis
• Exercise: Build a policy-focused analytics dashboard
• Case Study: Using DHIS2 analytics to improve health outcomes
Module 4: Evidence-Based Policy and Strategic Decision-Making
• Translating data into policy insights
• Evidence-based planning and resource allocation
• Monitoring and evaluation frameworks using DHIS2
• Data storytelling and communication strategies
• Using analytics to support health program performance
• Practical: Develop evidence-based policy recommendations
• Case Study: Data-driven healthcare policy transformation
Module 5: Data Security, Sustainability, and Continuous Improvement
• Health data privacy and security frameworks
• Ethical considerations in health data management
• Strengthening data governance sustainability
• Continuous quality improvement in health information systems
• Emerging trends in digital health analytics
• Capstone Exercise: Develop a DHIS2 analytics and governance strategy
• Case Study: Building resilient digital health ecosystems
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