Digital transformation in healthcare (5cr)
Code: C-02504-YS00BV67-3003
General information
- Enrollment
- 17.11.2025 - 06.01.2026
- Registration for the implementation has begun.
- Timing
- 06.01.2026 - 10.05.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 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
- Course
- C-02504-YS00BV67
Evaluation scale
0-5
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)
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)
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.
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
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)
International connections
The course makes use of international literature and, where possible, seeks to engage international experts to lecture on the course themes.
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)