The development of eHealth nationally and internationally is substantially changing many of the current work and care delivery practices. The move from paper-based records to digital solutions will bring a large range of benefits, many complexities and some concerns / risks. The overarching aim of the course is to provide a good understanding of the field of Health Informatics (HI), its development and how it can impact the delivery of health at all levels from home based / community, GP, and up to the hospital sector.
The student should exit the course with a readily applicable knowledge base in the following aspects:
This course has a number of places funded under the Human Capital Initiative. See Springboard Courses for more information.
The course is primarily aimed at existing and future employees in the health service and IT industry sector who are looking to move into the area of Health Informatics, expand their current knowledge in the area, or get more involved in health IT implementation projects in their respective work locations. The assignments for the various modules are primarily focused on work-based topics, with these assignments being undertaken primarily as group or team work. This team-based process mirrors the actuality of IT systems implementation projects or health data / business intelligence analysis in this sector.
Information management and the utilisation of associated technology is becoming a major activity of the healthcare professional. Our courses are designed to train graduates in medical and allied professions in healthcare informatics.
Core 40 ECTS:
Clinical Information & Decision Support Systems (10 ECTS)
Biostatistics and Data Management (10 ECTS)
Medical Records (5 ECTS)
Information Visualisation (5 ECTS)
Interoperability, Standards & XML (5 ECTS)
Information Governance in Health (5 ECTS)
Options 20 ECTS:
Data Programming with R (5 ECTS)
Artificial Intelligence in Health (5 ECTS)
Health Data – What is it and where does it come from? (5 ECTS)
Corporate Information Systems in Health (5 ECTS)
Informatics Systems Implementation in Health (5 ECTS)
Human Computer Interfaces (5 ECTS)
Artificial Intelligence in Health (5 ECTS)
Data Programming with R (5 ECTS)
Personalised Medicine (5 ECTS)
Data Mining in Health (5 ECTS)
Medical Devices and their connectivity (5 ECTS)
Clinical Biomarkers (5 ECTS)
Bioinformatics (5 ECTS)
AI for Pathology and Histopathology (10 ECTS)
AI for Medical Image Analysis (10 ECTS)
The lecturers will come from both UCD and the Health Service to ensure an appropriate mix of theory and application in the content.
For information on costs, please visit the UCD Fees page.
Academic Programme Director |
Programme Administrator |
Dr. Pat Felle UCD School of MedicineHealth Sciences Centre UCD Belfield Dublin 4 E: patrick.felle@ucd.ie |
Mr Steven Masterton UCD School of MedicineHealth Sciences Centre UCD Belfield Dublin 4 T: +353 1 716 6606 E: med.informatics@ucd.ie |