Learning Systems Decision Making for Health Training Course

Course Overview

Learning Systems Decision Making for Health Training Course is designed to equip healthcare professionals, public health specialists, health program managers, monitoring and evaluation officers, policymakers, hospital administrators, researchers, and development practitioners with advanced knowledge and practical skills in establishing organizational learning systems that support evidence-based healthcare decision-making and continuous improvement. As healthcare organizations increasingly embrace Learning Health Systems (LHS), Health Management Information Systems (HMIS), Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Universal Health Coverage (UHC), Sustainable Development Goals (SDGs), digital health transformation, implementation science, knowledge management, adaptive management, and quality improvement, effective learning systems have become essential for transforming healthcare data, experiences, and evidence into strategic actions. This comprehensive course enables participants to build organizational learning cultures that improve healthcare performance, strengthen accountability, and enhance health outcomes.

The course provides participants with practical knowledge in organizational learning, knowledge management, learning agendas, evidence synthesis, decision-support systems, adaptive management, performance measurement, implementation research, data analytics, learning reviews, after-action reviews, communities of practice, and continuous quality improvement. Participants will learn how to establish learning systems that integrate Health Management Information Systems (HMIS), DHIS2, Electronic Medical Records (EMRs), Power BI, Tableau, SurveyCTO, KoboToolbox, ODK, SPSS, R, GIS, and healthcare dashboards to generate timely evidence for policy formulation, resource allocation, service delivery improvement, disease surveillance, emergency response, and healthcare planning. Practical sessions demonstrate how organizations can systematically capture lessons learned, evaluate program performance, and apply knowledge to improve healthcare interventions.

Participants will further explore advanced concepts including learning organizations, systems thinking, organizational memory, innovation management, strategic foresight, artificial intelligence-assisted decision support, predictive analytics, knowledge translation, evidence-informed policymaking, collaborative learning networks, and leadership for organizational learning. Practical healthcare case studies examine maternal and child health, communicable and non-communicable diseases, nutrition, immunization, primary healthcare, humanitarian response, health financing, digital health innovation, and health systems strengthening. The course emphasizes transforming organizational knowledge into measurable improvements in healthcare quality, efficiency, resilience, and sustainability.

Through instructor-led workshops, interactive simulations, practical exercises, software demonstrations, collaborative learning projects, and comprehensive healthcare case studies, participants will gain hands-on experience in designing, implementing, and managing learning systems that support strategic healthcare decision-making. Upon successful completion of the course, participants will possess the technical expertise required to strengthen organizational learning, improve evidence utilization, enhance policy development, support adaptive healthcare management, foster innovation, and build resilient learning health systems across ministries of health, hospitals, universities, NGOs, humanitarian organizations, research institutions, and international development agencies.

Course Objectives

1. Understand the principles and components of Learning Health Systems.
2. Design and implement organizational learning systems for healthcare.
3. Strengthen knowledge management and evidence-sharing practices.
4. Apply systems thinking to healthcare decision-making.
5. Develop learning agendas and organizational learning strategies.
6. Integrate health information systems into learning and decision-support processes.
7. Utilize data analytics and evidence synthesis for policy development.
8. Promote adaptive management and continuous quality improvement.
9. Strengthen leadership capacity for organizational learning and innovation.
10. Support evidence-based healthcare planning and strategic decision-making.

Organizational Benefits

1. Strengthens organizational learning and institutional memory.
2. Improves evidence-based healthcare planning and decision-making.
3. Enhances healthcare service quality and patient outcomes.
4. Supports adaptive management and continuous improvement.
5. Strengthens knowledge sharing across departments and partners.
6. Improves accountability and organizational transparency.
7. Enhances innovation and digital transformation in healthcare.
8. Optimizes healthcare resource allocation through evidence-informed decisions.
9. Strengthens monitoring, evaluation, accountability, and learning systems.
10. Builds resilient healthcare organizations capable of responding to emerging challenges.

Target Participants

This course is suitable for:

• Health Program Managers
• Monitoring, Evaluation, Accountability and Learning (MEAL) Officers
• Public Health Specialists
• Hospital Administrators
• Ministry of Health Officials
• Health Information Managers
• Epidemiologists
• Health Researchers
• Policy Analysts
• Healthcare Consultants
• Quality Improvement Officers
• Health Informatics Specialists
• Knowledge Management Officers
• NGO and Humanitarian Project Staff
• Development Partners
• Clinical Managers
• Digital Health Specialists
• Data Analysts
• Organizational Development Professionals
• Professionals responsible for healthcare planning, learning, monitoring, evaluation, and policy development.

Course Outline

Module 1: Introduction to Learning Health Systems

• Principles of Learning Health Systems
• Organizational learning concepts
• Systems thinking
• Learning cycles
• Healthcare applications
• Global best practices

Case Study: Establishing a Learning Health System within a national Ministry of Health.

Module 2: Organizational Learning and Knowledge Management

• Knowledge management frameworks
• Organizational memory
• Knowledge capture
• Knowledge sharing
• Learning repositories
• Communities of practice

Case Study: Developing a knowledge-sharing platform for regional hospitals.

Module 3: Learning Agendas and Strategic Planning

• Learning agenda development
• Strategic learning priorities
• Evidence needs assessment
• Learning objectives
• Organizational alignment
• Performance frameworks

Case Study: Designing a learning agenda for a maternal and child health improvement program.

Module 4: Data Systems for Learning and Decision Making

• Health Management Information Systems (HMIS)
• DHIS2 integration
• Electronic Medical Records
• Digital data collection tools
• Healthcare dashboards
• Data governance

Case Study: Integrating hospital information systems to improve organizational learning.

Module 5: Evidence Synthesis and Data Analytics

• Data interpretation
• Systematic evidence synthesis
• Qualitative and quantitative analysis
• Predictive analytics
• Business intelligence
• Data visualization

Case Study: Synthesizing healthcare performance data to improve immunization services.

Module 6: Adaptive Management and Continuous Improvement

• Adaptive management principles
• Continuous quality improvement
• Plan-Do-Study-Act (PDSA) cycles
• Change management
• Performance monitoring
• Learning feedback loops

Case Study: Using adaptive management to strengthen primary healthcare service delivery.

Module 7: Decision Support Systems and Policy Development

• Decision-support frameworks
• Evidence-informed policymaking
• Strategic decision analysis
• Healthcare prioritization
• Policy implementation
• Performance measurement

Case Study: Developing evidence-based policies for non-communicable disease prevention.

Module 8: Leadership for Learning Organizations

• Leadership development
• Organizational culture
• Collaborative leadership
• Innovation management
• Stakeholder engagement
• Capacity building

Case Study: Leading organizational transformation toward a learning healthcare institution.

Module 9: Monitoring, Evaluation, Accountability and Learning (MEAL)

• Results-Based Management
• Monitoring systems
• Evaluation integration
• Accountability mechanisms
• Organizational learning
• Learning dissemination

Case Study: Integrating MEAL systems into a national healthcare improvement initiative.

Module 10: Digital Innovation and Artificial Intelligence

• Artificial Intelligence applications
• Machine learning
• Clinical decision support
• Digital health innovation
• Automation
• Future healthcare technologies

Case Study: Applying AI-powered decision-support tools to improve hospital performance.

Module 11: Organizational Performance and Resilience

• Performance management
• Healthcare resilience
• Risk management
• Crisis learning
• Organizational sustainability
• Strategic foresight

Case Study: Building resilient learning systems for emergency preparedness and pandemic response.

Module 12: Emerging Trends in Learning Health Systems

• Precision public health
• Learning analytics
• Cloud-based collaboration
• Open knowledge systems
• Global health learning networks
• Future trends in organizational learning

Case Study: Developing a digitally connected national Learning Health System integrating AI, big data analytics, knowledge management, and evidence-based decision-making.

General Information

1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, collaborative group work, software demonstrations, interactive workshops, and real-world healthcare case studies. Our facilitators are seasoned experts with over a decade of experience in public health, monitoring and evaluation, organizational learning, knowledge management, digital health, and health systems strengthening.
4. Certification: Upon successful completion of the training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. 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.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of training days.
7. 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.
8. Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
12. 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.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call +254712260031.
14. Website: Visit www.fdc-k.org for more information.