Digital Expertise in Health Care and Social Services (5cr)

Evaluation scale

Pass/Fail

Content scheduling

The course starts with a preliminary assignment Webinars Learning portfolio work Independent study Self-assessment

Objective

The aim of the course is to strengthen students' expertise in digitalization in the social and health care sector. After completing the course, you will be able to You will be able to analyze digitalization as a phenomenon in social and health care operating environments at the national, international, and local levels. You are able to critically analyze and evaluate the opportunities, limitations, and ethical dimensions associated with the use of digital methods in your own area of expertise You will be able to apply and combine relevant research data on digitalization-related themes to the development of the social and health care sector. You will be able to examine the development of social and health care services, taking into account the principles of sustainable development and digital inclusion. You will be able to assess the importance of cyber security, information security, and data protection in social and health services and take digital security into account in the development of social and health services. You will be able to anticipate and solve complex challenges related to the digital operating environment in an innovative manner and in accordance with the principles of sustainable development. You will understand artificial intelligence as a technology and its role in future social and health services. You will be able to critically assess and analyze issues and competence needs related to artificial intelligence in your own field. Competences of the course: - Ethics - Learning to learn - Proactive development

Content

Current trends in digitalisation and changes in the operating environment Strategic guidance and implementation of digitalisation at international, national and local level Time-specific phenomena and technologies related to digitalisation in the social and health sector Digital methods, skills and attitudes Digital inclusion and digital equality in service systems Disinformation and its effects in the social and health sector Cyber security, data protection and information security in digital services Opportunities and challenges of artificial intelligence in the development of the social and health sector. Items of Assessment: Learning portfolio and learning self assessment Student Workload in Hours: Online studies 40 h - Active participation in intensive days 20 h - Independent work (incl. Written assignments) 75 h Total 135 hours

Materials

Sosiaali- ja terveysministeriö 2023. Digitaalisuus sosiaali- ja terveydenhuollon kivijalaksi. Sosiaali- ja terveydenhuollon digitalisaation ja tiedonhallinnan strategia 2023-2035. Sosiaali- ja terveysministeriön julkaisuja 2023:32. Sosiaali- ja terveysministeriö. Kansallinen ikäohjelma vuoteen 2030: Tavoitteena ikäkyvykäs Suomi Global strategy on digital health 2020-2025. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO. Valtioneuvosto. 2022. Valtioneuvoston selonteko: Suomen digitaalinen kompassi. Valtioneuvoston julkaisuja 2022:65. Kyberturvallisuus - Ohje sosiaali- ja terveydenhuollon toimijoille (STM 2019) Blek, T., Lahdenperä, E., & Lehosmaa, J. (2024). Sote-ammattilaisten kyberturvallisella toiminnalla varmistetaan asiakas- ja potilasturvallisuutta. Jamk Arena Pro. https://urn.fi/urn:nbn:fi:jamk-issn-2984-0783-104 Blek, T. & Solankallio-Vahteri, T. 2022. Terveydenhuollon hoitohenkilöstön tieto- ja kyberturvallisuusosaaminen. FinJeHeW 14 (4): 352-363. Coventry, L., Branley-Bell, D., Sillence, E., Magalini, S., Mari, P., Magkanaraki, A. & Anastasopoulou, K. 2020. Cyber-Risk in Healthcare: Exploring Facilitators and Barriers to Secure Behaviour. HCI for Cybersecurity, Privacy and Trust. Sihvo, P. & Koski, A. (toim.) Eettinen toimintamalli - osaamista tulevaisuuden koulutukseen ja sote-alan työhön Digiosallisuuden käsite ja keskeiset osa-alueet, Digiosallisuus Suomessa -hankkeen väliraportti (Hänninen, Karhinen, Korpela, Pajula, Pihlajamaa, Merisalo, Kuusisto, Taipale, Kääriäinen & Wilska 2021) Sanmark, J. & Sanmark, E. 2024. Mitä tiedämme generatiivisen tekoälyn hyödyistä terveydenhuollossa? Duodecim. Mitä tiedämme generatiivisen tekoälyn hyödyistä terveydenhuollossa? DigiFinland. Tekoäly hyvinvointialueilla: Sosiaali- ja terveydenhuollon käyttötapaukset ja kansallinen edistäminen. 2024. Esiselvitystyön loppuraportti maaliskuu 2024. https://digifinland.fi/wp-content/uploads/2024/03/DigiFinland_tekoaly_loppuraportti_210324.pdf + topical, research-based material, to be announced during the course

Teaching methods

4 webinars Independent work Portfolio Field visits

Exam schedules

There is no exam. The renewal of coursework is done in accordance with the examination regulations.

Completion alternatives

The course can be completed flexibly. Participation in webinars is voluntary. For all webinars, a lecture recording is available as an option. The course portfolio can be worked on either alone or with a partner.

Student workload

4 webinars 3x45 min and preparation for them 1 cr Independent study and portfolio work 4 cr