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Developing Radiographic Imaging, Treatments and Procedures in Clinical Radiography (10cr)

Code: 7L00FG20-3003

General information


Enrolment period
26.11.2024 - 07.01.2025
Registration for the implementation has ended.
Timing
07.01.2025 - 13.05.2025
Implementation has ended.
Credits
10 cr
Virtual portion
10 cr
Mode of delivery
Online learning
Unit
MD in Clinical Expertise and Development
Campus
TAMK Main Campus
Teaching languages
Finnish
Degree programmes
Master's Degree Programme in Clinical Expertise and Development
Teachers
Hoitotyö Luennoitsija
Marja Jaronen
Tags
ONLINE
Course
7L00FG20

Objectives (course unit)

The student is able to develop optimization process of patient dose and image quality in clinical radiography.

Content (course unit)

• Principles of justification and optimization of examinations/treatments by their indications, procedures and image quality
• International, national and organization specific best practices
• Evaluating and developing factors associated to image quality and patient dose
• Developing expertise in dose optimization
• Radiation physics and radiation biology

Assessment criteria, satisfactory (1-2) (course unit)

The student
• knows the principles of optimizing the dose and image quality in clinical radiography
• knows concepts and principles of safety culture in clinical radiography

Assessment criteria, good (3-4) (course unit)

The student
• applies the principles of optimizing the dose and image quality in clinical radiography
• applies concepts of optimizing the dose and image quality in clinical radiography

Assessment criteria, excellent (5) (course unit)

The student
• analyzes the principles of optimizing the dose and image quality in clinical radiography
• synthetizes concepts and principles of safety culture in clinical radiography

Exam schedules

ei ole

Assessment methods and criteria

Arviointi perustuu kirjalliseen työhön ja opintojakon aikana tehtäviin tehtäviin.

Assessment scale

0-5

Teaching methods

Luennot, keskustelut, itsenäinen ja ryhmätyöskentely

Student workload

10 op = 270h

Further information

Oppimisympäristö Metropolian Moodlessa

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