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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
MSH26K
Bachelor of Health Care, Nursing
MSH25K
Bachelor of Health Care, Nursing, Multimodal implementation
SH25S
Bachelor of Health Care, Nursing
VSH25S
Bachelor of Health Care, Nursing, Online teaching
SH25K
Bachelor of Health Care, Nursing, Full-time studies
MSH24K
Bachelor of Health Care, Nursing, Multimodal implementation
MSH23S
Bachelor of Health Care, Nursing, Multimodal implementation
MSH24S
Bachelor of Health Care, Nursing, Multimodal implementation
SH24K
Bachelor of Health Care, Nursing, Full-time studies
SH24S
Bachelor of Health Care, Nursing
MSH25S
Bachelor 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

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