Format: Live instructor-led online training via Zoom / Microsoft Teams

Antimicrobial Resistance Informatics Training Course

Course Overview

Antimicrobial Resistance Informatics Training is a comprehensive professional development program designed to equip healthcare professionals, laboratory scientists, veterinarians, epidemiologists, pharmacists, public health specialists, and policymakers with advanced knowledge and practical competencies in antimicrobial resistance (AMR) informatics, health informatics, laboratory information management systems (LIMS), antimicrobial stewardship, digital disease surveillance, artificial intelligence (AI), machine learning, healthcare analytics, microbiology informatics, genomic surveillance, One Health information systems, electronic health records (EHR), and AMR data management. The course focuses on integrating advanced digital technologies into antimicrobial resistance surveillance, laboratory diagnostics, antimicrobial stewardship, infection prevention and control, outbreak detection, and evidence-based policymaking. Participants develop practical skills in implementing interoperable AMR information systems that strengthen surveillance, improve antimicrobial use, enhance laboratory reporting, and support national and global AMR action plans.

The program explores emerging technologies including artificial intelligence, machine learning, whole genome sequencing (WGS), bioinformatics, predictive analytics, cloud-based surveillance platforms, electronic laboratory reporting, business intelligence dashboards, geographic information systems (GIS), digital epidemiology, Internet of Medical Things (IoMT), health information exchange, blockchain, clinical decision support systems, and integrated One Health digital platforms. Participants learn how these technologies improve antimicrobial susceptibility testing, AMR trend analysis, pathogen tracking, outbreak investigation, antimicrobial consumption monitoring, infection prevention, healthcare quality improvement, and multidisciplinary collaboration. The course emphasizes international best practices in AMR surveillance, healthcare data governance, ethical digital health, cybersecurity, interoperability standards, regulatory compliance, and sustainable digital transformation.

Participants engage in practical workshops involving laboratory information management systems, antimicrobial resistance databases, AI-powered predictive models, genomic surveillance platforms, digital reporting systems, electronic health records, healthcare dashboards, GIS mapping, microbiology data visualization, antimicrobial stewardship analytics, quality assurance systems, and integrated surveillance tools. The curriculum incorporates AMR surveillance indicators, laboratory informatics, antimicrobial consumption analysis, healthcare analytics, outbreak response coordination, infection prevention and control informatics, clinical microbiology, digital health governance, quality improvement frameworks, and evidence-based antimicrobial stewardship. Through realistic case studies, participants strengthen competencies in monitoring multidrug-resistant organisms, healthcare-associated infections, antimicrobial consumption, zoonotic AMR surveillance, foodborne pathogens, tuberculosis drug resistance, hospital infection control, and integrated One Health antimicrobial resistance management using advanced digital technologies.

The training combines expert-led lectures, computer laboratory sessions, laboratory demonstrations, simulation exercises, web-based tutorials, collaborative group work, competency assessments, and multidisciplinary case discussions. Participants develop expertise in AMR informatics implementation, digital laboratory management, antimicrobial stewardship informatics, healthcare analytics, genomic surveillance, digital epidemiology, public health leadership, healthcare quality improvement, digital transformation, and sustainable antimicrobial resistance information systems. Upon successful completion, participants will possess the practical skills required to design, implement, evaluate, and continuously improve antimicrobial resistance informatics systems that enhance surveillance, laboratory efficiency, antimicrobial stewardship, healthcare quality, public health preparedness, and organizational resilience.

Course Objectives

1. Understand the principles and applications of antimicrobial resistance informatics.
2. Apply digital technologies for antimicrobial resistance surveillance and laboratory reporting.
3. Utilize laboratory information management systems for microbiology and AMR data management.
4. Integrate artificial intelligence and predictive analytics into AMR surveillance and stewardship.
5. Strengthen antimicrobial stewardship programs using healthcare analytics.
6. Apply genomic surveillance and bioinformatics in antimicrobial resistance monitoring.
7. Improve multidisciplinary collaboration through interoperable AMR information systems.
8. Ensure data quality, cybersecurity, ethical practice, and regulatory compliance.
9. Evaluate antimicrobial resistance trends using digital analytics and surveillance indicators.
10. Design and implement sustainable antimicrobial resistance informatics programs.

Organizational Benefits

1. Strengthens antimicrobial resistance surveillance and reporting systems.
2. Improves antimicrobial stewardship and rational antimicrobial use.
3. Enhances laboratory efficiency through digital information management.
4. Supports rapid detection of antimicrobial resistance trends and outbreaks.
5. Improves evidence-based decision-making using healthcare analytics.
6. Strengthens collaboration across human, animal, and environmental health sectors.
7. Supports digital transformation in laboratory and public health systems.
8. Enhances compliance with national and international AMR surveillance standards.
9. Builds workforce capacity in AMR informatics and digital epidemiology.
10. Enhances organizational preparedness for emerging antimicrobial resistance threats.

Target Participants

This course is designed for physicians, infectious disease specialists, clinical microbiologists, pharmacists, antimicrobial stewardship teams, laboratory scientists, epidemiologists, veterinarians, public health professionals, infection prevention and control specialists, healthcare administrators, laboratory managers, health informaticians, healthcare IT specialists, biomedical scientists, researchers, policymakers, One Health professionals, food safety officers, environmental health officers, quality assurance officers, humanitarian health professionals, university lecturers, postgraduate students, medical students, allied health professionals, government health officers, NGO professionals, and professionals involved in antimicrobial resistance surveillance, laboratory management, public health, and digital health systems.

Course Outline

Module 1: Introduction to Antimicrobial Resistance Informatics

• Principles of AMR informatics
• Global AMR challenges
• Digital transformation in AMR surveillance
• One Health approach
• AMR information systems
• Future trends in AMR informatics

General Case Study: Developing a national antimicrobial resistance informatics strategy to strengthen surveillance.

Module 2: Laboratory Information Management Systems (LIMS)

• Laboratory information systems
• Digital microbiology workflows
• Specimen tracking
• Electronic laboratory reporting
• Data quality assurance
• Laboratory interoperability

General Case Study: Implementing a laboratory information management system for antimicrobial susceptibility testing.

Module 3: AMR Surveillance Systems and Data Management

• Integrated surveillance systems
• AMR data collection
• Surveillance indicators
• Electronic reporting
• Data validation
• Information governance

General Case Study: Strengthening national AMR surveillance through integrated digital reporting systems.

Module 4: Artificial Intelligence and Predictive Analytics

• AI applications in AMR
• Machine learning models
• Predictive outbreak analytics
• Clinical decision support
• Risk prediction
• Emerging AI innovations

General Case Study: Using artificial intelligence to predict antimicrobial resistance trends in healthcare facilities.

Module 5: Genomic Surveillance and Bioinformatics

• Whole genome sequencing
• Molecular epidemiology
• Bioinformatics pipelines
• Pathogen characterization
• Genomic databases
• Resistance gene analysis

General Case Study: Tracking multidrug-resistant bacterial strains using genomic surveillance technologies.

Module 6: Antimicrobial Stewardship Informatics

• Stewardship program design
• Antimicrobial consumption analytics
• Clinical decision support
• Prescription monitoring
• Digital stewardship tools
• Performance indicators

General Case Study: Optimizing antimicrobial prescribing practices through digital stewardship systems.

Module 7: One Health AMR Surveillance

• Human health surveillance
• Veterinary surveillance
• Environmental monitoring
• Food safety surveillance
• Data integration
• Collaborative governance

General Case Study: Integrating human, animal, and environmental AMR surveillance into a unified One Health platform.

Module 8: GIS and Digital Epidemiology

• Geographic information systems
• Spatial analysis
• Outbreak mapping
• Risk visualization
• Digital epidemiology
• Public health intelligence

General Case Study: Mapping antimicrobial resistance hotspots to guide targeted interventions.

Module 9: Data Governance, Ethics and Cybersecurity

• Data governance frameworks
• Ethical data management
• Cybersecurity
• Privacy protection
• Regulatory compliance
• Information security

General Case Study: Developing secure AMR data-sharing frameworks across multiple institutions.

Module 10: Monitoring, Evaluation and Business Intelligence

• Dashboard development
• Data visualization
• Performance measurement
• Program evaluation
• Quality improvement
• Evidence-based reporting

General Case Study: Evaluating national antimicrobial stewardship performance using business intelligence dashboards.

Module 11: Leadership and Strategic AMR Management

• Strategic leadership
• Digital transformation
• Capacity building
• Stakeholder coordination
• Change management
• Innovation management

General Case Study: Leading the implementation of a nationwide antimicrobial resistance informatics program.

Module 12: Sustainable Antimicrobial Resistance Informatics Systems

• Strategic implementation planning
• Infrastructure development
• Monitoring and evaluation
• Budgeting and sustainability
• Emerging digital technologies
• Future directions in AMR informatics

General Case Study: Establishing a sustainable antimicrobial resistance informatics ecosystem to support national and international surveillance initiatives.

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, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of 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 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, freight 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.