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Curricular information is subject to change
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 Type | Hours |
---|---|
Lectures | 20 |
Tutorial | 1 |
Laboratories | 4 |
Specified Learning Activities | 50 |
Autonomous Student Learning | 50 |
Total | 125 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Multiple choice questions. | n/a | Alternative linear conversion grade scale 40% | No | 60 |
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Group Work Assignment: Creating an explainer video on a given topic. | n/a | Graded | No | 30 |
|
Report(s): Lab report - practice portfolio. | n/a | Alternative linear conversion grade scale 40% | No | 10 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 1 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
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 |