Introduction
Digital Surveillance & AI in Infection Control focuses on the use of digital tools, data systems, and emerging artificial intelligence technologies to strengthen infection prevention and control programs. The course highlights how automated surveillance, electronic health records (EHRs), dashboards, and analytics can improve early detection of healthcare-associated infections (HAIs), enhance compliance monitoring, and support timely decision-making.
By integrating principles of research, quality improvement, and technology-enabled care, this program helps healthcare teams move from manual, retrospective reporting to proactive, data-driven infection control. Emphasis is placed on practical adoption of digital surveillance systems, responsible use of AI, and alignment with quality and accreditation requirements.
Scope
This program covers key concepts and applications of digital surveillance and AI in infection control, including:
- Fundamentals of digital infection surveillance systems
- Use of hospital information systems, EHRs, and laboratory data for IPC monitoring
- Automated HAI detection and alert generation
- Device-associated infection surveillance using digital indicators
- Dashboards, data visualization, and trend analysis for IPC decision-making
- Basics of AI and machine learning applications in infection control
- Predictive analytics for infection risk identification and outbreak signals
- Digital tools for hand hygiene, bundle compliance, and audit monitoring
- Data quality, validation, privacy, and ethical considerations
- Integration of digital surveillance with quality improvement and accreditation programs
Objectives
By the end of the program, learners will be able to:
- Understand the role of digital surveillance in modern infection control programs.
- Use electronic data sources to support infection surveillance and reporting.
- Interpret dashboards, alerts, and trends related to HAIs and compliance.
- Apply basic concepts of AI and predictive analytics in infection prevention.
- Support early identification of infection risks and outbreak patterns.
- Improve accuracy, efficiency, and timeliness of infection control reporting.
- Collaborate with IT and quality teams to implement digital IPC solutions.
- Use surveillance data to drive quality improvement and accreditation readiness.
Who Can Enroll
This program is suitable for:
- Infection Prevention and Control (IPC) nurses and officers
- Quality managers and patient safety teams
- Hospital administrators and clinical governance leaders
- Data, health informatics, and IT support staff
- Junior doctors and clinicians involved in surveillance and reporting
- Microbiology and laboratory professionals
- Healthcare professionals interested in digital health and AI applications
Study Content from TERRALEAP.COM
Learners receive structured study support through TERRALEAP.COM, including:
- Expert-led videos explaining digital surveillance workflows and AI concepts
- Practical demonstrations of dashboards, indicators, and reporting tools
- Learning resources designed to support real-world adoption and quality improvement