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
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
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
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
Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.
Our fees are all inclusive during course hours.
From registration to the classroom, we keep things clear and efficient.
We provide premium environments optimized for adult learning and networking.
You’ll leave with tools that extend the course value far beyond the final day.
We validate your commitment to excellence with internationally recognized credentials.
Our relationship with you doesn’t end when the course closes.
We offer customized training solutions tailored to your organization's specific needs (location, dates, content and team size).
Talk to us and we’ll guide you on the best schedule and format for your team.
We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.
In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.
The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.
Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.
We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).
Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.
We teach directly from your actual templates, brand guidelines, or financial reports.
Host your bespoke training in any of our 21+ global cities, or we'll send facilitators to your office anywhere in the world.
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