Health informatics and analytics are revolutionizing the healthcare landscape, transforming vast amounts of data into actionable intelligence. As health systems generate unprecedented volumes of information from electronic health records, wearable devices, and genomic sequencing, the ability to collect, analyze, and interpret this data is paramount. This training course provides a foundational understanding of the principles and tools required to harness this data, driving evidence-based decisions that improve clinical outcomes, streamline operations, and enhance patient care.

This program is designed for professionals who seek to lead the charge in data-driven healthcare. By exploring key concepts in data governance, machine learning, and visualization, participants will gain the skills to build robust analytical frameworks. The course will cover everything from the basics of electronic health record systems to advanced predictive modeling, enabling you to identify trends, forecast patient needs, and optimize resource allocation. Join us to unlock the power of data and become a pivotal force in shaping the future of health systems.

Duration

5 days

Target Audience

• Health system data analysts and scientists
• Health information managers
• Public health professionals
• Hospital and clinic administrators
• Quality improvement and patient safety officers
• Clinical research coordinators
• Medical and nursing professionals
• IT specialists in healthcare
• Health tech consultants
• Executives and strategic planners

Objectives

• Understand the fundamental principles of health informatics.
• Apply data analytics techniques to real-world healthcare challenges.
• Master the use of key health information systems.
• Interpret and visualize complex health data for stakeholders.
• Develop strategies for improving data quality and integrity.
• Explore ethical and legal considerations in health data management.
• Utilize predictive analytics to forecast health trends and patient outcomes.
• Formulate a data-driven approach to improving operational efficiency.
• Build a foundation for leading data-driven initiatives in a health organization.

Course Modules

Module 1: Foundations of Health Informatics

• The role of health informatics in modern medicine.
• Introduction to electronic health record (EHR) systems.
• Understanding health information exchange (HIE).
• Principles of medical terminologies and coding.
• The lifecycle of health data.

Module 2: Health Data Analytics Fundamentals

• Introduction to descriptive, diagnostic, and predictive analytics.
• Data cleaning and preprocessing techniques.
• Statistical analysis for healthcare professionals.
• Data visualization for actionable insights.
• Tools and software for health data analysis.

Module 3: Information Systems and Technologies

• The architecture of clinical information systems.
• Implementing and optimizing EHRs.
• Telemedicine and remote monitoring technologies.
• Using mobile health (mHealth) applications.
• Interoperability standards and data sharing protocols.

Module 4: Big Data and Predictive Modeling

• Working with large-scale healthcare data sets.
• Introduction to machine learning in healthcare.
• Building predictive models for disease outbreaks and patient readmissions.
• Risk stratification and personalized medicine.
• Ethical implications of AI in healthcare.

Module 5: Data Quality and Governance

• Strategies for ensuring data accuracy and completeness.
• Developing a strong data governance framework.
• Data security and patient privacy (HIPAA, GDPR).
• Auditing and monitoring data for compliance.
• Building a culture of data stewardship.

Module 6: Operational and Clinical Analytics

• Using analytics to improve clinical workflows.
• Optimizing hospital resource management and staffing.
• Analyzing population health data for public health initiatives.
• Measuring quality and performance metrics.
• Identifying and reducing healthcare costs.

Module 7: Strategic Leadership and Implementation

• Creating a data-driven organizational culture.
• Communicating analytical findings to non-technical stakeholders.
• Building an analytics team and infrastructure.
• Managing change in a healthcare environment.
• Developing a strategic roadmap for health informatics.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.