Digital Expertise in Health Care and Social Services (5cr)
Code
General information
- Enrollment
- 01.04.2023 - 30.04.2023
- Registration for the implementation has ended.
- Timing
- 01.05.2023 - 13.08.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Online learning
- Unit
- School of Health and Social Studies
- Teaching languages
- Finnish
- Degree programmes
- Master's Degree Programme in Business Network Management
- Master’s Degree Programme in Health Care and Social Services
- Master's Degree Programme in Project Management
- Teachers
- Emilia Lahdenperä
- Johanna Niskakangas
- Teacher in charge
- Emilia Lahdenperä
- Groups
-
YSY21SJSosiaali- ja terveysalan ylempi AMK, Sosiaali- ja terveysalan johtaminen
-
YSY21SKSosiaali- ja terveysalan ylempi AMK, kliininen asiantuntija
-
YSV21S1Master's Degree Programme in Business Network Management
-
ZJAYSY22STAvoin AMK, sote, Terveyden edistäminen, YAMK-polku
-
YSY21STSosiaali- ja terveysalan ylempi AMK, terveyden edistäminen
-
YSB21S1Projektijohtaminen YAMK
-
ZJAYSY22SJAvoin AMK, sote, Sosiaali- ja terveysalan johtaminen, YAMK-polku
-
ZJAYSY22SKAvoin AMK, sote, Kliininen asiantuntija, YAMK-polku
-
ZJAYSY22SMAvoin AMK, sote, Monialainen kuntoutus, YAMK-polku
- Course
- YSZY0510
Unfortunately, no reservations were found for the realization Digital Expertise in Health Care and Social Services YSZY0510-3004. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation scale
Pass/Fail
Content scheduling
Toukokuussa 2023 webinaarit ja portfoliotyöskentely
Kesä- ja heinäkuu 2023 itsenäinen opiskelu ja portfoliotyöskentely
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
Hujala, A. & Taskinen, H. (toim.). 2020. Uudistuva sosiaali- ja terveysala.
Häyrinen, K. 2018. Social and health care meets digitalization – challenges and possibilities. FinJeHew, 10(2–3), 186-188.
Sosiaali- ja terveysministeriö. 2016. Digitalisaatio terveyden ja hyvinvoinnin tukena. Sosiaali- ja terveysministeriön digitalisaatiolinjaukset 2025. Saatavilla: http://urn.fi/URN:ISBN:978-952-00-3782-6.
Teknologia ja etiikka sosiaali- ja terveysalan hoidossa ja hoivassa (Etene) 2010.
+ muu opintojaksolla ilmoitettu ajankohtainen aineisto
Teaching methods
4 webinars
Independent work
Portfolio
Field visits
Student workload
Webinaarit 4 kpl 3x45 min ja niihin valmistautuminen 1 op
Itsenäinen opiskelu ja portfoliotyöskentely 4 op
Assessment criteria, approved/failed
The general criteria of the competences that the Master's Degrees awarded by Finnish Universities of Applied Sciences provide can be found on JAMK's web pages (Competence Assessment | Jamk). The learning outcomes of individual courses are assessed in relation to the objectives of the course concerned. Assessment is based on knowledge, skills and competence in accordance with the National and European Qualifications Framework (NQF/EQF), level 7.
Pass:
In a successful performance, you demonstrate that you have mastered the skills required to achieve the objectives.
You analyze digitalization as a phenomenon, taking into account the international, national, and local levels.
You analyze and evaluate the opportunities, limitations, and ethical dimensions associated with the use of digital methods.
You actively utilize research data to support your own analytical thinking.
You take into account the principles of sustainable development and digital inclusion in the development of themes related to digitalization.
You understand the importance of cybersecurity, information security, and data protection in the management and development of social and health services.
You anticipate complex problems of the future and develop innovative solutions to them.
You critically evaluate and analyze issues and competence needs related to artificial intelligence.
Fail:
Your returned assignment did not meet the criteria for pass mark