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Digital transformation in healthcare (5cr)

Code: C-02504-YS00BV67-3003

General information


Enrolment period
17.11.2025 - 06.01.2026
Registration for introductions has not started yet.
Timing
06.01.2026 - 10.05.2026
The implementation has not yet started.
Credits
5 cr
Institution
JAMK University of Applied Sciences, Kontaktitunnit ja webinaarit (pakolliset). Ajat Helsinki aikaa. Moodle oppimistyötila avautuu 22.1.2026 opiskelijoille. 29.1.2026 / 9-12 KONTAKTI 17.2.2026 / 9-11 ONLINE WEBINAARI 17.2.2026 /12-15 KONTAKTI 26.2.2026 / 13-16 KONTAKTI 30.3.2026 / 12-15 KONTAKTI 14.4.2026 / 9-11 ONLINE WEBINAARI 5.5.2026 / 9-12 ONLINE WEBINAARI Tentti kampuksella: 20.4.2026 /14-15 (1. yritys) 27.4.2026 /14-15 (2. yritys) 4.5.2026 / 14-15 (3. yritys)
Teaching languages
English
Seats
0 - 2

Location and time

Contact and webinars (mandatory participation). Times are in Helsinki time. Moodle learning environment will open to students on January 22, 2026. 29.1.2026 / 9-12 CONTACT TEACHING 17.2.2026 / 9-11 ONLINE WEBINAR 17.2.2026 /12-15 CONTACT 26.2.2026 / 13-16 CONTACT 30.3.2026 / 12-15 CONTACT 14.4.2026 / 9-11 ONLINE WEBINAR 5.5.2026 / 9-12 ONLINE WEBINAR Exam at the campus: 20.4.2026 /14-15 (1st Attempt) 27.4.2026 /14-15 (2nd Attempt) 4.5.2026 / 14-15 (3rd Attempt)

Exam schedules

Exam at the campus: 20.4.2026 /14-15 (1st Attempt) 27.4.2026 /14-15 (2nd Attempt) 4.5.2026 / 14-15 (3rd Attempt)

Assessment methods and criteria

Assessment methods: self-assessment, peer assessment, and teacher feedback. The assessment is criteria-based.

Assessment scale

0-5

Teaching methods

Flipped learning: home tasks prior to webinars and contact lessons Problem-based learning: exercises, workshops, group discussions Online pedagogy: various methods of online pedagogy, lectures

Learning materials

Esmaeilzadeh, P. (2024). Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence In Medicine, 151, 102861. Gustafsson, C. & Dannapfel, P. (2025). Leaders’ experiences of successfully implementing health and welfare technology in sparsely populated Nordic areas. Disability & Rehabilitation: Assistive Technology, 20(1), 85–96. Naamati-Schneider, L., Arazi-Fadlon, M., & Daphna-Tekoah, S. (2025). Strategic technological processes in hospitals: Conflicts and personal experiences of healthcare teams. Nursing ethics, 32(1), 236–252. Petersson, L., Larsson, I., Nygren, J. M., Nilsen, P., Neher, M., Reed, J. E., Tyskbo, D., & Svedberg, P. (2022). Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC health services research, 22(1), 850. Nair, M., Svedberg, P., Larsson, I., & Nygren, J. M. (2024). A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. PloS one, 19(8), e0305949.

Student workload

Contact lessons: 12 hours Online webinars: 7 hours Familiarization with the course literature: 16 hours Home tasks: 16 hours Assignments: 84 hours The total student workload for the course is 135 hours (1 ECTS credit corresponds to 27 hours)

Content scheduling

Contact and webinars (mandatory participation). Times are in Helsinki time. Moodle learning environment will open to students on January 22, 2026. 29.1.2026 / 9-12 CONTACT TEACHING 17.2.2026 / 9-11 ONLINE WEBINAR 17.2.2026 / 12-15 CONTACT 26.2.2026 / 13-16 CONTACT 30.3.2026 / 12-15 CONTACT 14.4.2026 / 9-11 ONLINE WEBINAR 5.5.2026 / 9-12 ONLINE WEBINAR Exam at the campus: 20.4.2026 /14-15 (1st Attempt) 27.4.2026 /14-15 (2nd Attempt) 4.5.2026 / 14-15 (3rd Attempt)

International connections

The course makes use of international literature and, where possible, seeks to engage international experts to lecture on the course themes.

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