Programplaner og emneplaner - Student
MABIO4600 Statistics, Quality Control and Quality Assurance Course description
- Course name in Norwegian
- Statistikk, kvalitetskontroll og kvalitetssikring
- Study programme
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Master´s Programme in Health and Technology - Specialisation in Biomedicine, elective modulesMaster´s Programme in Health and Technology - Specialisation in Biomedicine
- Weight
- 10.0 ECTS
- Year of study
- 2020/2021
- Curriculum
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SPRING 2021
- Schedule
- Programme description
- Course history
-
Introduction
The student must have been admitted to the study programme. The course is also offered as an individual course.
Required preliminary courses
After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:
Knowledge
The student
- has in-depth knowledge of radioactive pharmaceuticals’ chemical, biological, and pharmacokinetic properties
- has advanced knowledge of the most common clinical examinations and therapies in nuclear medicine, and the relevance of these methods in relation to various diseases and disease mechanisms
- has advanced knowledge of nuclear medicine imaging and processing
- has in-depth knowledge of what characterises the different types of radiation
- has in-depth knowledge of the principles of quality control of nuclear medicine equipment and specimens
- has in-depth knowledge of preparation of radiopharmaceuticals
- is capable of describing applicable radiation protection provisions in the field of nuclear medicine
Skills
The student is capable of
- applying medical-technical equipment in nuclear medicine units
- mastering routine quality control of equipment and specimens
- mastering aseptic work techniques and knows how to protect him/herself and others against contamination and infection when preparing radiopharmaceuticals
- is capable of using safety equipment when handling radioactivity
Competence
The student is capable of
- familiarising him/herself with and taking a critical approach to new methods and apparatuses used in nuclear medicine with particular emphasis on their areas of application, possibilities, and limitations.
Learning outcomes
After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:
Knowledge
The student
- has advanced knowledge of the selection and use of statistical methods in research and method validation
- has in-depth knowledge of systems and procedures for monitoring quality and quality assurance of analysis processes
- is capable of describing systems and processes related to the accreditation and certification of medical laboratories
- has advanced knowledge of the assessments that form the basis for the establishment of a reference area
- has advanced knowledge of how analysis methods’ specificity, sensitivity and test accuracy are decided and evaluated
- is capable of explaining the concepts predictive value, odds ratio, and ROC curves
- is capable of explaining the laws and regulations that regulate medical laboratory activities
- has advanced knowledge of how to carry out durability tests of sample material
- has advanced knowledge of analytical variation in terms of repeatability and reproducibility
Skills
The student is capable of
- applying statistical methods and tools, such as table analysis, variance analysis, correlation, and simple and multiple, linear and logistic regression
- carrying out and explaining hypothesis testing, parametric and non-parametric methods, as well as correlation and regression analysis
- using one and two-way variance analysis for repeated measurements
- assessing and discussing the importance of pre-analytical, analytical, and post-analytical sources of error related to the result/quality of the analysis
- choosing and applying statistical methods used to quality assure medical laboratories
- planning and carrying out comparisons of analysis methods and assessing measures
Competence
The student is capable of
- discussing and analysing relevant issues and actively contribute to the execution of advanced work tasks related to quality control and quality assurance in laboratories
Teaching and learning methods
Work and teaching methods include lectures, seminars, group work and self-study.
Course requirements
The following required coursework must be approved before the student can take the exam:
- presentation of an assignment in groups of 3-5 students
Assessment
Exam content: The learning outcomes
Exam form: Individual written exam, 4 hours
Permitted exam materials and equipment
An external and internal examiner will assess all exams
Grading scale
Grade scale A-F
Examiners
An external and internal examiner will assess all exams