Monitoring and Evaluation for Health Programmes

Objectives
  • 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.
Structure
  • 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
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