Artificial Intelligence for Health Data Analysis

Statement of Need

Artificial Intelligence (AI) is increasingly transforming healthcare delivery,
public health, and health research. Across the health sector, growing
volumes of data from health facilities, surveillance systems, laboratories,
electronic medical records, mobile health platforms, and research
programmes present major opportunities for evidence generation and
informed decision-making. However, transforming these large datasets into
actionable intelligence requires new analytical approaches

Who Attends
  • Explain the core concepts of Articial Intelligence, machine learning, and
    health data science and their relevance to modern health systems.
  • Identify and assess practical applications of AI in healthcare delivery,
    public health, and biomedical research.
  • Prepare, clean, structure, and manage health datasets for AI analysis.
  • Apply machine learning techniques to health data for descriptive,
    predictive, and classification analysis.
  • Analyze trends, patterns, and health outcomes using AI-supported
    analytical methods.
  • Use AI tools to support disease surveillance, forecasting, and early
    warning systems.
  • Interpret AI generated outputs and translate analytical findings into
    actionable policy and operational decisions.
  • Understand and apply ethical, legal, and governance framework
    governing the responsible use of in health data environment.
  • Design practical strategies for integrating AI tools and insights into health
    programmes, research, and decision-making systems.
How participants will benefit
  • Foundations of Artificial Intelligence in Health
  • Health Data Management and Preparation for AI Analysis
  • AI and Machine Learning Methods for Health Data Analysis
  • Practical Applications of AI in Public Health and Healthcare
  • Ethics, Governance, Interpretation and Action
Topics Include
  • Gain practical understanding of AI and its applications in health data analysis.
  • Strengthen analytical skills for collecting, managing, and processing health
    datasets.
  • Apply AI approaches to health programme data for meaningful analysis.
  • Improve capacity to generate actionable insights that support health planning,
    programme management and decision-making
  • Understand the responsible and ethical use of AI within health data
    environments.
  • Build confidence to integrate AI into their workplace, research or institutional
    setting.
  • Improve the ability to interpret and communicate AI-generated findings to
    diverse audiences, including policymakers and programme teams.
  • Strengthen capacity to apply AI for disease surveillance, health forecasting, and
    early warning systems.
  • Develop strategies for embedding AI-driven approaches into national health
    programmes, research institutions, and health information systems.
  • Expand professional networks and contribute to a growing community of
    practice in AI for health across the region.
Fees

USD 750 per participant