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RDGY10090

Academic Year 2025/2026

Healthcare Imaging and Information Systems (RDGY10090)

Subject:
Radiography
College:
Health & Agricultural Sciences
School:
Medicine
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Ms Ciara McKeown
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The aim of this module is to provide students who have a limited experience of the general healthcare environment and radiology department, with an overview of key imaging technologies. By completing this module, students will be better equipped to explain how these technologies work and how the associated examinations are conducted. Students will also understand the roles of these technologies in disease detection and diagnosis and know important safety considerations.

The module will be divided into three core areas:
1) The Imaging systems component of the module will introduce students to the role that diagnostic imaging plays in the diagnosis & treatment of disease and injury. This strand of the module will provide an overview of the basic technological and operating principles for a range of imaging modalities such as X-ray, Computed Tomography (CT), Ultrasound (US), Magnetic Resonance Imaging (MRI), Radionuclide Imaging (RNI), Positron Emission Tomography (PET) and angiography imaging. Students will also be given a brief introduction to the image appearance for each of these modalities and will be provided with a basic explanation of various anatomical and pathological appearances provided through a resource of images. The current and future uses of the imaging modalities will be discussed along with the strengths and limitations of imaging modalities in the diagnosis of disease and injury.

2) The Diagnostic Imaging Safety and Legislation strand will focus on an introduction to radiation safety. A summary of radiation legislation (S.I. 256, 2018) will be provided. This will address the important issues of justification and optimisation and will also cover ALARA principles and referral guidelines which relate directly to quality and patient safety.

3) The Healthcare Information Systems strand of this module will provide a brief insight into Healthcare Information Technology (HCIT) including HIS, RIS, PACS, EPR and their role and function in the daily operations of a modern healthcare environment. This strand will also explore issues relating to e-professionalism and data protection.

About this Module

Learning Outcomes:

On completion of this module students should be able to:
Knowledge outcomes:
- Describe in basic terms the principles of operation and clinical application of a range of imaging modalities covered.
- Discuss which imaging modality is best used to image specific anatomy and pathology based on evidence based guidelines;
- Be able to discuss the concepts of justification of imaging examinations and consider radiation dose considerations for patients in particular relevant to national legislation;
- Discuss the use of a hospital information system for administrating patient information and data protection considerations.

Professional Skills:
- Develop group / team-work skills and critically evaluate their individual contribution and performance as a part of a team as well as that of other team members.

Personal /Professional development:
- Use online multiple-choice question quizzes to reinforce their learning;
- Use creative talents to design an innovative and informative patient booklet

Student Effort Hours:
Student Effort Type Hours
Lectures

23
Small Group

10
Tutorial

4
Specified Learning Activities

35
Autonomous Student Learning

50
Total

122

Approaches to Teaching and Learning:
Learning is structured around a series of didactic lectures which deliver most of the learning content. There is active task based learning as students engage in an interdisciplinary group assignment to produce a patient information resource in which they also peer assess each others contributions. Students are provided with online multiple-choice question quizzes to allow them to independently revise and reinforce their learning using a structured approach, and to become familiar with the multiple-choice question format prior to the end-of-trimester exam.

Generative AI (GAI) may be used in this module as dictated by the UCD traffic light system. The use of GAI in the Group Assignment of this module is Orange: Conditional Use of AI. Students may use GAI for specific purposes as outlined in the assignment guidelines and in accordance with the UCD academic integrity policy. Each group is required to fully disclose their use or otherwise of GAI by completing and submitting the ‘Student Disclosure on the Use of GAI’ declaration with their assignment. When GAI is used, each group must clearly indicate the GAI tool used and provide a brief description of how it was utilised in the assignment.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Incompatibles:
LAW37770 - Introduction to Medical Law, RDGY30520 - Medical Imaging (Clin/Res)


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Examination: Multiple Choice Quiz: A series of multiple choice questions which are based on all module content. End of trimester
Duration:
1 hr(s)
 Alternative linear conversion grade scale 40% No
60
 No
Group Work Assignment: Group Project: Each group will design a patient information resource on the diagnostic imaging used for a preassigned pathology. Self & Peer ratings will be used to calculate individual student grades Week 8 Alternative linear conversion grade scale 40% No
40
 No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

For the group work project students peer review each other's contributions to the project via peer assessment. Students also have an opportunity to get feedback on a draft prior to submission. Students will receive detailed group level feedback on their project following submission. Feedback is also given to the entire class on the group projects. For the formative online multiple-choice question quizzes, individual automated feedback will be provided upon submission. Group feedback will be provided post multiple-choice question assessment. Students may contact the MC for individual feedback, post MCQ assessment.

Royal College of Radiologists (2017). iRefer : making the best use of clinical radiology. Eight Edition.

Name Role
Assoc Professor Patrick Felle Lecturer / Co-Lecturer
Ms Aine Lunney Lecturer / Co-Lecturer
Ms Shauna Murphy Lecturer / Co-Lecturer
Professor Louise Rainford Lecturer / Co-Lecturer
Dr Rachel Toomey Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Mon 11:00 - 11:50
Autumn Lecture Offering 1 Week(s) - 8 Thurs 09:00 - 09:50
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 Wed 12:00 - 12:50
Autumn Lecture Offering 1 Week(s) - 12 Wed 12:00 - 12:50
Autumn Small Group Offering 1 Week(s) - 3, 5, 7 Fri 09:00 - 10:50
Autumn Small Group Offering 1 Week(s) - 10 Fri 10:00 - 11:50
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