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Data Governance Performance Improvement for Health Training Course

Online Training Download PDF

How to Register Click View Schedule for your preferred location, select your training dates, then register as an individual, group, or online participant. You will receive an invitation letter and invoice promptly after submission.

Training Locations Kenya (Nairobi, Mombasa, Malindi, Kisumu, Nakuru, Nanyuki) · Tanzania (Dodoma, Zanzibar, Dar es Salaam) · Dubai UAE · South Africa (Pretoria, Cape Town) · Istanbul · Accra · Banjul more ▾

Groups & Payment Groups of 5+ receive one complimentary place — see group rates. Payment due at least 1 month before (Europe & Asia) or 2 weeks before (Africa programs).

Upcoming Training Schedules 14 locations

Location	Duration	Next Start Date	Dates Available	Action
Nairobi, Kenya	10 days	Aug 24, 2026	98 dates
Accra, Ghana	10 days	Aug 31, 2026	49 dates
Addis Ababa, Ethiopia	10 days	Aug 31, 2026	49 dates
Cape Town, South Africa	10 days	Aug 24, 2026	49 dates
Dar es Salaam, Tanzania	10 days	Aug 31, 2026	49 dates
Dubai, UAE	10 days	Aug 24, 2026	69 dates
Istanbul, Turkey	10 days	Oct 5, 2026	49 dates
Kampala, Uganda	10 days	Sep 7, 2026	49 dates
Kigali, Rwanda	10 days	Aug 24, 2026	49 dates
Kuala Lumpur, Malaysia	10 days	Aug 24, 2026	49 dates
Mombasa, Kenya	10 days	Aug 24, 2026	49 dates
Pretoria, South Africa	10 days	Sep 14, 2026	49 dates
Singapore	10 days	Aug 24, 2026	49 dates
Zanzibar, Tanzania	10 days	Sep 28, 2026	49 dates

Data Governance Performance Improvement for Health Training Course

Course Overview

Data Governance Performance Improvement for Health Training Course is designed to equip healthcare professionals, health information managers, monitoring and evaluation specialists, public health practitioners, health program managers, researchers, policymakers, and digital health experts with comprehensive knowledge and practical skills in establishing robust data governance frameworks that improve organizational performance, healthcare quality, regulatory compliance, and evidence-based decision-making. As healthcare organizations continue to advance Health Management Information Systems (HMIS), Electronic Medical Records (EMRs), Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Universal Health Coverage (UHC), Sustainable Development Goals (SDGs), digital health transformation, implementation science, interoperability, healthcare analytics, artificial intelligence, and health systems strengthening, effective data governance has become essential for ensuring data quality, security, accessibility, accountability, and continuous performance improvement. This course provides participants with practical strategies for managing healthcare data as a strategic organizational asset.

The course introduces participants to internationally recognized data governance principles, including data stewardship, master data management, metadata management, data quality management, healthcare interoperability, information security, privacy compliance, FAIR data principles, ISO standards, data lifecycle management, risk management, business intelligence, performance measurement, and healthcare analytics. Participants will learn to integrate healthcare data from DHIS2, HMIS, Electronic Medical Records, Laboratory Information Management Systems (LIMS), SurveyCTO, KoboToolbox, Open Data Kit (ODK), Power BI, Tableau, Excel, SPSS, STATA, R, Python, and GIS into secure, high-quality information ecosystems that support operational excellence, healthcare planning, policy formulation, and donor reporting.

Participants will also explore advanced topics such as healthcare data governance maturity models, cloud computing, artificial intelligence for healthcare data management, predictive analytics, interoperability frameworks, cybersecurity, digital transformation, health information exchange, audit readiness, performance dashboards, regulatory compliance, and organizational learning. Practical exercises demonstrate how strong governance improves clinical decision-making, healthcare quality, patient safety, resource utilization, disease surveillance, emergency preparedness, research quality, and institutional accountability while reducing risks associated with poor-quality data.

Through instructor-led workshops, software demonstrations, practical laboratories, collaborative group exercises, governance simulations, and comprehensive healthcare case studies, participants will gain hands-on experience in designing, implementing, monitoring, and continuously improving healthcare data governance systems. Upon successful completion of the course, participants will possess the competencies required to strengthen organizational data governance, improve healthcare performance, enhance digital transformation initiatives, support evidence-based policy development, optimize healthcare service delivery, and foster a culture of data-driven decision-making across ministries of health, hospitals, universities, research institutions, NGOs, humanitarian organizations, and international development agencies.

Course Objectives

Understand the principles and frameworks of healthcare data governance.
Develop effective data governance strategies for healthcare organizations.
Strengthen healthcare data quality, integrity, and reliability.
Implement healthcare data privacy, security, and regulatory compliance measures.
Utilize digital technologies to improve healthcare data management.
Design performance monitoring systems using healthcare data.
Develop interactive dashboards for healthcare performance improvement.
Apply analytics to support evidence-based healthcare decision-making.
Strengthen organizational accountability through effective data governance.
Promote continuous performance improvement through data-driven management.

Organizational Benefits

Strengthens organizational data governance frameworks.
Improves healthcare data quality, consistency, and accessibility.
Enhances compliance with healthcare regulations and standards.
Improves evidence-based planning and strategic decision-making.
Strengthens monitoring, evaluation, accountability, and learning systems.
Enhances patient safety and healthcare quality.
Improves operational efficiency through digital transformation.
Supports healthcare performance monitoring and continuous improvement.
Reduces organizational risks associated with poor data governance.
Builds institutional capacity for sustainable digital health management.

Target Participants

Health Information Managers
Monitoring and Evaluation Officers
Public Health Specialists
Health Program Managers
Hospital Administrators
Ministry of Health Officials
Digital Health Specialists
Data Governance Officers
Data Analysts
Epidemiologists
Health Researchers
ICT Managers
Health Informatics Specialists
Quality Improvement Officers
Policy Analysts
NGO and Humanitarian Project Staff
Development Partners
Healthcare Consultants
Clinical Managers
Professionals responsible for healthcare data management, governance, analytics, monitoring, evaluation, and organizational performance improvement.

Course Outline

Module 1: Introduction to Healthcare Data Governance

Principles of data governance
Healthcare data ecosystems
Governance frameworks
Organizational roles and responsibilities
Data governance maturity models
International best practices

Case Study: Establishing a national healthcare data governance framework to improve service delivery.

Module 2: Data Governance Policies and Standards

Governance policies
Data ownership
Data stewardship
Metadata management
Standard operating procedures
ISO and healthcare standards

Case Study: Developing enterprise data governance policies for a regional hospital network.

Module 3: Healthcare Data Quality Management

Data quality dimensions
Data validation
Data cleansing
Data standardization
Data quality assessment
Continuous improvement

Case Study: Improving routine health information quality across district health facilities.

Module 4: Data Privacy, Security, and Compliance

Healthcare data privacy
Information security
Access control
Cybersecurity
Regulatory compliance
Risk management

Case Study: Implementing secure patient data management systems compliant with national regulations.

Module 5: Digital Health Information Systems

Health Management Information Systems (HMIS)
DHIS2
Electronic Medical Records
Laboratory Information Systems
Health Information Exchange
Interoperability standards

Case Study: Integrating multiple health information systems to improve patient care coordination.

Module 6: Digital Data Collection and Integration

SurveyCTO
KoboToolbox
Open Data Kit (ODK)
Mobile health technologies
Cloud integration
Data synchronization

Case Study: Digitizing healthcare data collection for nationwide disease surveillance.

Module 7: Performance Measurement and Analytics

Key Performance Indicators (KPIs)
Healthcare scorecards
Business intelligence
Statistical analysis
Predictive analytics
Benchmarking

Case Study: Measuring hospital performance using integrated healthcare analytics.

Module 8: Dashboard Development and Visualization

Power BI dashboards
Tableau visualization
Executive dashboards
Interactive reports
Geographic Information Systems (GIS)
Data storytelling

Case Study: Designing executive dashboards to monitor healthcare quality and operational performance.

Module 9: Artificial Intelligence and Digital Innovation

Artificial Intelligence applications
Machine learning
Automated data quality monitoring
Predictive healthcare analytics
Intelligent decision support
Digital transformation strategies

Case Study: Implementing AI-powered healthcare data governance to improve predictive patient care.

Module 10: Organizational Performance Improvement

Continuous quality improvement
Lean healthcare principles
Performance optimization
Organizational learning
Change management
Strategic planning

Case Study: Using healthcare performance data to improve emergency department efficiency.

Module 11: Monitoring, Evaluation, Accountability and Learning (MEAL)

Results-Based Management
Performance monitoring
Evaluation systems
Organizational accountability
Adaptive management
Learning frameworks

Case Study: Integrating data governance into national healthcare monitoring and evaluation systems.

Module 12: Emerging Trends in Healthcare Data Governance

FAIR data principles
Cloud computing
Blockchain in healthcare
Digital twins
Precision public health
Future trends in healthcare governance

Case Study: Designing an integrated national healthcare data governance ecosystem that combines HMIS, DHIS2, Artificial Intelligence, cloud computing, blockchain, predictive analytics, and executive dashboards to strengthen healthcare performance, accountability, and evidence-based decision-making.

General Information

Customized Training: All our courses can be tailored to meet the specific needs of participants.
Language Proficiency: Participants should have a good command of the English language.
Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, software demonstrations, collaborative group work, governance simulations, and real-world healthcare case studies. Our facilitators are seasoned experts with over a decade of experience in public health, digital health, healthcare data governance, monitoring and evaluation, health information systems, and organizational performance improvement.
Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
Equipment: Tablets and laptops can be provided to participants at an additional cost.
Post-Training Support: We offer one year of free consultation and coaching after the course.
Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call +254712260031.
Website: Visit www.fdc-k.org for more information.

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya