Digital Service Development and Information Management in Health and Welfare Services (5 cr)

Learning outcomes

The Student
- is able to understand user centered service design and multi professional development process to digital services
- be able to applied future orientation and solutions centric working habits
- able to understand different kind of data sources and structures and future possibilities to utilize data analytics for citizens' health promotion

Content

- service design process
- user centered approach
- future orientation and creative working habits
- project management and online collaboration
- databases and health information system usage and security
- Image analysis (Xray, brainscans, etc.) & remote diagnostics
- Internet of Things/sensor technology/wearables growing, so much more data available from individuals (MyHealth-data)
- Analytics and visualization

Location and time

Online + during the sprint April 7-12, 2019 in Riga, Latvia.

Materials

To be confirmed before the start.

Teaching methods

This is part of "Developing digital health and wellbeing" program (https://rdi.arcada.fi/dediwe/en/ ). This 3/3 course is prioritized for students who have completed the parts 1 & 2 earlier. The sprint will take place April 7-12, 2019 in Riga, Latvia. The sprint requires participation for pre-assignments, the sprint itself (full working days with voluntary but recommended socializing activities in the evenings) and post-assignments (reports, portfolio). All travel, accomodation and lunch cost of intensive week for students are covered by Nordplus - program.

Employer connections

The challenges are provided by the international partner organisations from Finland, Estonia and Latvia.

Exam schedules

March 15 - April 30, 2019. The sprint takes place in April 7-12, 2019.

International connections

Study is suitable for exchange students. Collaboration between Finland (Arcada UAS, Laurea UAS), Estonia (Tartu Health Care College) and Latvia (Red Cross Medical College).

Completion alternatives

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Student workload

See above.

Assessment criteria, approved/failed

Based on participation activity (personal, team and coach feedback) and deliverables during the intensive week. Also learning portfolio after the course is required as deliverable.