Monitoring and Evaluation for Health Programmes
Monitoring and Evaluation (M&E) is central to effective health programme planning, implementation, accountability, and continuous improvement. Strong M&E systems enable health programmes to track progress, measure performance, assess outcomes, and generate evidence to support decision-making and resource allocation.
With growing digitalisation in health systems and increasing availability of routine and real-time data, artificial intelligence (AI) is transforming how monitoring and evaluation functions are designed and implemented.
AI-powered tools can automate data cleaning, improve analysis, predict emerging trends, identify programme risks, support real-time dashboards, and strengthen evidence based decision-making.
- Demonstrate a comprehensive understanding of the core principles, concepts, and established frameworks underpinning Monitoring and evaluation in health programmes.
- Design robust results-based M&E frameworks strategically aligned with programme goals and health priorities.
- Develop context-appropriate indicators, realistic targets, and comprehensive performance measurement plans for health programmes.
- Apply AI-supported tools in health data collection, cleaning, analysis, and visualisation.
- Analyse and interpret programme data using both conventional and AI-enabled methods.
- Utilize AI powered tools to detect emerging trends, predict risks, and generate actionable insights that support proactive and responsive health programme performance monitoring.
- Conduct evaluations and assess programme outcomes using evidence-based approaches.
- Prepare dashboards, reports, and visual summaries for communication with diverse stakeholders and audiences.
- Integrate M&E findings and AI-generated insights into programme learning cycles, adaptive management processes, and policy decisions.
- Foundations of Monitoring and Evaluation in Health Programmes
- M&E Framework Design, Indicators and AI-Enabled Data Systems
- Data Collection, Data Quality and AI for Data Analysis
- Evaluation, Learning and Predictive Analytics
- Reporting, Dashboards, Visualization and Use of Findings
- Designing and implementing stronger M&E systems for health programmes
- Apply AI tools to strengthen data analysis and reporting
- Improve programme performance monitoring and learning
- Use predictive insights for strategic decision-making
- Strengthen reporting quality, transparency and accountability
- Increase use of data and evidence in planning and policy
USD 1,750 per participant