The combination of an increasingly older population and improved interoperable, unobtrusive and wearable technical innovations empowered by AI are drivers for new digital health applications that can extend healthcare outside hospitals, taking into consideration not only technical cutting-edge tools, but also the high ethical and privacy standards in healthcare. This course aims to train students both from Chalmers and Sahlgrenska Academy at the University of Gothenburg to invent and develop such solutions.
The course is inspired by Stanford's CS342 class, an existing project based course taught at Stanford University by the Biodesign Digital Health group. The Stanford CS342 team will join the first lectures for the course on March 24th and 25th in-person to share their insights in building digital health applications and using the Stanford Spezi framework
It is not included in any educational program and/or department but is suitable as an elective course.
After completing the course, the student should be able to:
- Identify clinical needs and design effective digital health solutions
- Develop mobile applications for iOS and watchOS
- Collaborate using open-source platforms, such as GitHub · Utilize Stanford Spezi for digital health applications
- Implement machine learning models locally on devices to ensure privacy and security
- Apply patient-centric AI to drive digital health innovations and use HealthKit, including CoreMotion, for health data integration
- Work with modern digital health standards, such as Fast Healthcare Interoperability Resources (FHIR)
The course will consist of an introduction to the digital health field in general and some specific needs in particular. Each group will be given a unique health need to address. There will be weekly introductions of useful tools and strategic discussions in lecture form given by various lecturers. The main part of the work will be done in your groups.
At the end of the course, one of the groups (selected by the Stanford team) will be given the opportunity to visit the team on site in Stanford and the environment around campus, including Nordic Innovation House, for a week.
Prerequisites
Master level students with interest in digital health and experienced in programming or having experience of clinical environments.
How to apply:
Apply to all Tracks courses at universityadmissions.se/antagning.se.
At universityadmissions.se/antagning.se: Search for the course you are interested in by using the course code TRA460.
Details
Teachers: Stefan Candefjord (examiner), Torbjörn Lundh, Mattias Seth, (Sahlgrenska University Hospital), Oliver Aalami (Stanford), et al.Peter Kelly (Sahlgrenska University Hospital).
Course dates: Study period 4, 2025
Credits: 7.5 ECTS (Advanced level)
Level: A
Course code: TRA460
Application deadline: February 4-18, 2025