Study Guide

Objective

After completing the course the student:
- understands the basics of information security and data protection in social and health care
- is able to apply his or her knowledge in the work of an expert in health technology
- is able to take into account the social and health care information security and data protection requirements in product development

Content

- Legislation on data protection
- Data protection for social and health care
- Social and health care registers
- Best practices in security anddata protection

Materials

All course material and assignments will be in ItsLearning platform.

Teaching methods

Lectures, weekly assignments, laboratory assignment.

International connections

Information Security Risk Management is a way to cover the Concept of Economical and Social Sustainability.

Student workload

Lectures 10 x 2h = 20h
On-site Laboratory Sessions 2 x 4h = 8h
Weekly Assignments 10 x 8h = 80h
Laboratory Assignment 27h

Total 135h

Content scheduling

Definition of Data Protection
GDPR
Data Protection in Health Care
Data Protection in the Development of Health Technology
Information Security Basics
Information Security in the Development of Health Technology
Information Security in Software Development
Data Protection Impact Assesment
Information Security Testing of a Consumer Product

Further information

All administrative information will be in Peppi platform.

All infos will be in Itslearning platform.

Evaluation scale

H-5

Assessment methods and criteria

The evaluation is based on weekly assignments, laboratory assignment and attendance at lectures.

Assessment criteria, fail (0)

Under 50% of the weekly assignments and the laboratory assignment returned as accepted, or under 50% lecture attendance.

Assessment criteria, satisfactory (1-2)

At least 50% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

1: At least 50% of the weekly assignments and the laboratory assignment points.

2: At least 60% of the weekly assignments and the laboratory assignment points.

Assessment criteria, good (3-4)

At least 70% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

3: At least 70% of the weekly assignments and the laboratory assignment points.

4: At least 80% of the weekly assignments and the laboratory assignment points.

Assessment criteria, excellent (5)

At least 90% of the weekly assignments and the laboratory assignment returned as accepted, and over 50% lecture attendance.

At least 90% of the weekly assignments and the laboratory assignment points.