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What You'll Learn

Learn how to manage, protect, and optimize health data to support accurate reporting and regulatory compliance.
Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Data Governance and Quality Assurance in Health Analytics - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

This specialized course provides health sector professionals with practical knowledge and tools to manage, protect, and optimize data used in health analytics. The course covers data governance frameworks, compliance, data quality standards, ethical handling, and implementation of effective oversight mechanisms. Through case studies and applied exercises, participants gain the capability to strengthen data integrity, support accurate health analytics, and uphold regulatory requirements.

Duration 

10 Days

Who Should Attend

  • Health data analysts and informatics officers

  • Health IT and digital transformation professionals

  • Data managers, HIS coordinators, and quality control specialists

  • Public health researchers and monitoring & evaluation personnel

  • Compliance and regulatory officers within healthcare organizations

Course Impact

Personal Impact

  • Enhances professional competency in managing data quality and compliance

  • Strengthens analytical decision-making and data stewardship skills

  • Increases confidence in implementing governance frameworks

  • Positions participants for strategic roles in digital health transformation

Organizational Impact

  • Improves accuracy of health analytics, reporting, and decision-making

  • Strengthens data compliance with health regulatory bodies and data privacy laws

  • Reduces risks related to data breaches, inaccuracies, and system inefficiencies

  • Enhances reliability and trust in data used for health planning and research

Course Objectives

By the end of this course, participants will:

  • Understand data governance principles and frameworks applicable to health systems

  • Assess and improve data quality to support reliable analytics and reporting

  • Implement policies and procedures for ethical and compliant data management

  • Strengthen data protection, privacy, and security within health analytics workflows

  • Develop a structured data governance and quality assurance roadmap

Course Outline

Module 1: Introduction to Data Governance in Health Systems

  • Importance of governance in health analytics

  • Core components and industry standards

  • Case Study: Data governance failure and its impact on clinical outcomes


Module 2: Data Governance Frameworks and Policies

  • Developing governance structures and roles

  • Policy creation, implementation, and monitoring

  • Workshop:Designing a governance framework


Module 3: Data Quality Concepts and Dimensions

  • Understanding accuracy, completeness, consistency, and reliability

  • Key determinants of data quality in healthcare

  • Case Study:Analysis of data errors in hospital patient records


Module 4: Data Quality Assessment and Audit Techniques

  • Data validation tools and methodologies

  • Conducting health data audits

  • Practical Exercise:Performing a data quality check


Module 5: Ethical Data Use and Regulatory Compliance

  • Data privacy regulations (GDPR, HIPAA, NHIF policies)

  • Ethical data collection and management practices

  • Case Study: Legal implications of improper patient data handling


Module 6: Data Protection, Security & Risk Management

  • Cybersecurity in health data systems

  • Risk assessment and mitigation strategies

  • Scenario Simulation:Managing a data breach in a health organization


Module 7: Health Analytics and Data Quality Integration

  • Linking data governance to analytical outputs

  • Ensuring quality in statistical and predictive modeling

  • Case Study:Impact of data governance on disease surveillance analytics


Module 8: Stakeholder Roles and Data Stewardship

  • Responsibilities and accountability frameworks

  • Integrating departments and system owners

  • Group Exercise: Mapping a data stewardship structure


Module 9: Designing and Implementing a Data Governance Strategy

  • Blueprint development and execution planning

  • Aligning with national health system strategies

  • Workshop:​​​​​​​ Drafting a governance roadmap


Module 10: Monitoring, Evaluation & Continuous Improvement

  • Governance performance indicators

  • Implementing quality monitoring mechanisms

  • Final Action Plan: Developing a long-term quality and governance improvement strategy

  • Case Study: Successful implementation in a national health data system

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

Yes, it includes both technical and strategic perspectives suitable for diverse health roles.
Yes, major national and international data governance and privacy regulations are included.
Yes, participants receive data governance and quality assurance templates for direct workplace application.
Yes, participants will design a draft data governance roadmap.
Yes, concepts apply to public health, hospitals, research institutions, and digital health initiatives.
Training on Data Governance and Quality Assurance in Health Analytics

Next class starts 5 Jan 2026

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