Health technology product development (15 cr)
Code: TE00BO84-3003
General information
- Enrollment
- 02.07.2020 - 08.09.2020
- Registration for the implementation has ended.
- Timing
- 31.08.2020 - 01.03.2021
- Implementation has ended.
- Number of ECTS credits allocated
- 15 cr
- Local portion
- 14 cr
- Virtual portion
- 1 cr
- RDI portion
- 5 cr
- Mode of delivery
- Blended learning
- Unit
- Engineering and Business
- Teaching languages
- Finnish
- English
- Seats
- 12 - 40
- Teachers
- Reetta Raitoharju
- Elina Kontio
- Mojtaba Jafaritadi
- Teacher in charge
- Elina Kontio
- Groups
-
PTIVIS17HPTIVIS17H
- Course
- TE00BO84
Evaluation scale
H-5
Content scheduling
Autumn term1
Artificial intelligence in healthcare
Information security in health care
Autumn term 2
Managing the product development process of medical devices
Standards (ISO 13485, IEC 62304, IEC 62366)
Information security in health care
Visits
Spring term 1
Information management
Collecting and analyzing biosignals
Materials
- Materials assigned by the teachers
- Standards (ISO 13485, IEC 62304, IEC 62366)
- Suomen terveysteknologia-alan nykytila ja haasteet. (2017) Grönlund, M., Raitoharju, R. , Ranti, T. ja Ståhlberg, T. Tekes review 340/2017, Helsinki.
Teaching methods
Lectures, field trips and visits, workshops and teaching excersises
Exam schedules
Exams and re-exams take place during the scheduled hours.
Pedagogic approaches and sustainable development
In artificial intelligence in health care part students get familiar with the basics of AI and recognize how AI could be utilized to solve problems in health care.
In information security part students learn what are the special features of information security in healthcare sector. In medical device product development part students will get an extensive information package about the regulatory environment. After that workshops are held to get familiar with the important standards in this field. An exam will take place at the end of this part.
In spring term the studenst will learn what is information management and the students will work in the healthtech lab settings and collect and analyze biosignals.
Also seminars and visits will take place during this course.
Completion alternatives
To be discussed with the teachers
Student workload
Lectures 64 h
Workshops 28 h
Development tasks 100h
Laboratory work 213 h
Yhteensä 405 h
Evaluation methods and criteria
Artificial intelligence: 0-5
Product development: 0-5
Information security: 0-5
Information management and Collecting and analyzing biosignals: 0-5