Data Management in Biomedical Laboratory ScienceLaajuus (5 cr)
Code: SHV24BA06
Credits
5 op
Objective
The student:
- Knows data which can be utilized social welfare and healthcare.
- Knows especially data of national, regional and organizations in clinical laboratory activity.
- Is able to evaluate quality, reliability and usability of data.
- Is able to utilize data in development of biomedical laboratory science considering directing legislature, ethical principles and data management directions.
Content
Different social welfare and healthcare data, register-based studies, phases of data management., ethics and development of biomedical laboratory science by data.
Qualifications
No prerequisites
Assessment criteria, satisfactory (1)
Student recognizes directing legislature, ethical principles and data management directions in development of clinical laboratory activity. Student evaluates quality, reliability and usability of used data.
Assessment criteria, good (3)
Student develops clinical laboratory activity by utilize data considering directing legislature, ethical principles and data management directions. Student evaluates quality, reliability and usability of used data.
Assessment criteria, excellent (5)
Student develops clinical laboratory activity by utilize data considering directing legislature, ethical principles and data management directions. Student evaluates quality, reliability and usability of used data critically.
Materials
According to the lecturer's instructions
Enrollment
15.06.2024 - 31.07.2025
Timing
20.08.2025 - 02.10.2025
Number of ECTS credits allocated
5 op
Virtual portion
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Unit
Faculty of Health and Welfare
Campus
Åbo, Henriksgatan 7
Teaching languages
- English
Degree programmes
- Degree Programme in Social Services and Health Care
Teachers
- Camilla Ribacka
Teacher in charge
Camilla Ribacka
Groups
-
SHV24H-ÅSocial- och hälsovård, h24, högre yh, Åbo
-
SHV24H-VSocial- och hälsovård, h24, Vasa
Objective
The student:
- Knows data which can be utilized social welfare and healthcare.
- Knows especially data of national, regional and organizations in clinical laboratory activity.
- Is able to evaluate quality, reliability and usability of data.
- Is able to utilize data in development of biomedical laboratory science considering directing legislature, ethical principles and data management directions.
Content
Different social welfare and healthcare data, register-based studies, phases of data management., ethics and development of biomedical laboratory science by data.
Location and time
Fall 2025
Online implemented through the cooperation network BioRad
Materials
According to the lecturer's instructions
Given at course introduction
Teaching methods
Introduction to the course, self studies, individual assignment.
Exam schedules
Seminar with presentation of the students assignments
Student workload
The course is 5 cr which corresponds to 135 hours of work
Further information
The course is realized through the BioRad cooperation and responsible Universities of Applied Science are Turku University of Applied Science, Metropolia University of Applied Science and Tampereen University of Applied Science. Course material is found on Moodle of Metropolia.
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Student recognizes directing legislature, ethical principles and data management directions in development of clinical laboratory activity. Student evaluates quality, reliability and usability of used data.
Assessment criteria, good (3)
Student develops clinical laboratory activity by utilize data considering directing legislature, ethical principles and data management directions. Student evaluates quality, reliability and usability of used data.
Assessment criteria, excellent (5)
Student develops clinical laboratory activity by utilize data considering directing legislature, ethical principles and data management directions. Student evaluates quality, reliability and usability of used data critically.
Assessment methods and criteria
The course is graded 0-5. A passed grade requires passed individual assignments and active participation in seminars.
Assessment criteria, fail (0)
Bedömningskriterier finns på den gemensamma Moodle plattformen
Qualifications
No prerequisites