AI in Nursing - Artificial Intelligence as Your Colleague (3cr)
Code: XX00DY08-3001
General information
- Enrollment
 - 11.09.2025 - 30.04.2026
 - Registration for the implementation has begun.
 
- Timing
 - 20.10.2025 - 31.07.2026
 - Implementation is running.
 
- Number of ECTS credits allocated
 - 3 cr
 
- Local portion
 - 0 cr
 
- Virtual portion
 - 3 cr
 
- Mode of delivery
 - Distance learning
 
- Unit
 - SeAMK Nursing and Public Health Nursing
 
- Campus
 - SeAMK Seinäjoki, Kampustalo
 
- Teaching languages
 - Finnish
 
- Seats
 - 0 - 200
 
- Degree programmes
 - Free Choice Studies
 
- Teachers
 - Marjut Asunmaa
 - Tiina Koskela
 
- Scheduling groups
 - Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 300 . Open UAS : 300.)
 
- Groups
 - 
                        MSH26KBachelor of Health Care, Nursing
 - 
                        MSH25KBachelor of Health Care, Nursing, Multimodal implementation
 - 
                        SH25SBachelor of Health Care, Nursing
 - 
                        VSH25SBachelor of Health Care, Nursing, Online teaching
 - 
                        SH25KBachelor of Health Care, Nursing, Full-time studies
 - 
                        MSH24KBachelor of Health Care, Nursing, Multimodal implementation
 - 
                        MSH23SBachelor of Health Care, Nursing, Multimodal implementation
 - 
                        MSH24SBachelor of Health Care, Nursing, Multimodal implementation
 - 
                        SH24KBachelor of Health Care, Nursing, Full-time studies
 - 
                        SH24SBachelor of Health Care, Nursing
 - 
                        MSH25SBachelor of Health Care, Nursing, Multimodal implementation
 
- Small groups
 - Open UAS (Doesn't apply to degree student)
 
- Course
 - XX00DY08
 
Evaluation scale
Passed/failed
                    
Objective
After completing the course, the student can:
- Assess how and in which situations artificial intelligence can be responsibly utilised as part of nursing practice.
- Use a selection of chosen AI tools.
- Apply AI ethically and responsibly, taking into account patient privacy, data protection, and the environmental impacts of AI use.
- Critically evaluate AI-generated information based on evidence, and utilise it in nursing practice, for example in decision-making and patient guidance.
                    
Content
- Basic knowledge of artificial intelligence.
- Each student selects the AI tools they wish to use during the course. It is recommended to use more than one AI tool.
- Ethical and responsible aspects related to the use of AI.
- Assignments related to the use of AI. Each assignment begins with instructions on how AI may be used for that specific task.
                    
Location and time
The studies allow for completion according to your own schedule.
                    
Materials
Materials are on Moodle.
Computer, laptop or ipad is needed, The mobile phone is not suitable for the assignments.
                    
Teaching methods
The study is conducted online in the Moodle learning environment. The study is carried out independently at your own pace during the implementation period. The study does not include joint meetings or pair or group work. 
The student familiarizes themselves with the theoretical material, completes online assignments according to the given instructions. The study requires independent work and scheduling. 
The study requires independent work and scheduling.
                    
Employer connections
Studies support clinical trainings and working life
                    
Exam schedules
No exams.
                    
Completion alternatives
No rother ways to complete the course.
                    
Student workload
The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge. 3 ects is calculated as 81 hours of student work.
                    
Assessment criteria, approved/failed
Pass
A passing grade requires the completion and passing of all course assignments by the specified deadlines.
Criteria for a passing grade:
The student:
- is able to use their chosen AI applications
- is able to justify the use of AI ethically and with consideration for environmental responsibility
- is able to maintain data security when using AI
- is able to critically assess the suitability of AI in nursing practice, as well as the reliability of AI-generated information
                    
Assessment criteria, approved/failed
Pass
A passing grade requires the completion and passing of all course assignments by the specified deadlines.
Criteria for a passing grade:
The student:
- is able to use their chosen AI applications
- is able to justify the use of AI ethically and with consideration for environmental responsibility
- is able to maintain data security when using AI
- is able to critically assess the suitability of AI in nursing practice, as well as the reliability of AI-generated information
                    
Further information
No prerequisities. Studies are suitable for all who are interested