RDGY20260 Radiology Informatics

Academic Year 2023/2024

RDGY20260 addresses the fundamentals of imaging informatics, digital imaging workflow and technology relevant to diagnostic imaging. In addition to developing a knowledge base in the subject of Digital Information & Healthcare Information and Communication Technology (ICT), each student will gain skill in using an enterprise level RIS/PACS system. The importance of system security in a medical setting, and the impact of digital systems on the patient care pathway will be addressed and practical skills labs covering the entire patient workflow from a diagnostic imaging perspective. A particular emphasis will be placed on the ongoing transformation of radiology informatics with artificial intelligence (AI) and associated challenges. Data protection best practice in a clinical setting will also be explored. These activities will be driven through didactic lectures, online learning and lab sessions.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, students will be able to: 1) Understand the theoretical principles underlying HCIT systems; 2) Competently undertake the complete workflow of a diagnostic imaging examination; 3) Consider best practice principles with regard to data protection; 4) Apply problem solving skills as part of RIS/PACS diagnostic imaging workflow; 5) Understand the basic principles of artificial intelligence (AI) in HCIT: 6) Appreciate current applications and future challenges of AI in HCIT; 7) Demonstrate autonomous professionalism through the personal application of HCIT skills.

Indicative Module Content:

This module allows students to explore theoretically and practically, Healthcare IT systems and Digital Imaging workflow

Student Effort Hours: 
Student Effort Type Hours
Lectures

20
Tutorial

1
Laboratories

4
Specified Learning Activities

50
Autonomous Student Learning

50
Total

125
Approaches to Teaching and Learning:
The module is structured to encourage continuous self-directed learning, participation in lecture classes and active learning. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Presentation Unspecified n/a Graded No

30
Examination: Multiple choice questions. 1 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

70

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Spring Yes - 1 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Labs have rubric based feedback. Assignment has rubric based feedback

Name Role
Assoc Professor Shane Foley Lecturer / Co-Lecturer
Ms Cliodhna Murphy Lecturer / Co-Lecturer
Dr Rachel Toomey Lecturer / Co-Lecturer
Mrs Candice Whitfield 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) - 3 Mon 12:00 - 12:50
Lecture Offering 1 Week(s) - 3, 4, 5, 6, 7, 9, 10, 12 Mon 13:00 - 13:50
External & School Exams Offering 1 Week(s) - 10, 11 Mon 18:00 - 19:50
Lecture Offering 1 Week(s) - 3 Tues 09:00 - 09:50
Lecture Offering 1 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10 Tues 16:00 - 16:50
External & School Exams Offering 1 Week(s) - 10, 11 Tues 18:00 - 19:50
External & School Exams Offering 1 Week(s) - 10, 11 Wed 18:00 - 19:50
Autumn