Quality management and patient safety in clinical radiography (5 cr)

Objective

The students
*are familiar with the key legislation related to quality management
*understand the key concepts related to quality management
*understand the importance of quality management for patient safety
*understand the importance and principles of self-assessment and clinical auditing
*are able to implement and analyse functional and technical quality assurance
*know the principles of radiation protection in X-ray rooms
*understand the role of the radiographer in the quality management process
*are able to communicate as an expert in various research and development work
*are familiar with the fundamentals of scientific writing

Content

Legislation and key concepts related healthcare quality
Radiography quality management process within healthcare
Functional and technical quality assurance
Various quality management systems and tests
Radiation premises and radiation protection
Expert communication
Practical training at the UAS 3 ECTS

Location and time

17.3. - 25.5. 2025

Materials

Material in Moodle
The Client and Patient Safety Strategy and Implementation Plan 2022–2026, Ministry of Social Affairs and Health
Patient safety and patient insurance - videoserie, Patient Insurance Center
Minnolearn: Value based health care e-learning course material
The Radiation Act, regulations and STUK's regulations from a quality management perspective
Quality testing workbooks and guidance materials

It is not allowed to use or distribute any tasks, assignments or MATERIALS in any other way than in the student's own studies. Distributing ONLY with the teacher's personal permission.

Teaching methods

Preliminary task
Theory lectures
Task-based teaching
Cooperative learning
Practical training at school

Employer connections

Practical training at school 3 cr

Exam schedules

Examination/self-assessment task

Student workload

5 cr = 135 h

Further information

Compulsory attendance at laboratories. Appropriate work attire in laboratories.

Absence from class will be compensated as determined by the teacher.

Students must confirm their attendance for a course implementation by being present when tuition begins or in another manner agreed with the lecturer; for example, by returning the first course assignment. Students who are unable to attend the first teaching session due to illness may also confirm their attendance by informing the lecturer of this in advance.

Instructions on the use of artificial intelligence during the course are given separately. Students should familiarise themselves with Metropolia's AI guidelines and follow them in their study attainments.

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, satisfactory (1)

Assessment criteria
0–5
For evaluation criteria, see the attachment.
Assessment criteria for expert level are applied.

Assessment methods and criteria

The course is approved if the student has completed all the laboratories and assignments related to the course and has demonstrated sufficient competence through a self-assessment task.

Qualifications

Prerequisite studies:
Clinical practice in plain imaging examinations 10 ECTS
Patient in computer tomography and magnetic resonance imaging examinations 10 ECTS