Introduction to Digital Medicine
Undergraduate course
- ECTS credits
- 2.5
- Teaching semesters Autumn, Spring
- Course code
- DIGI616
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
The goal is to give an overview of the field of medical data science with an emphasis on both the promises and challenges of developing and using digital technology in healthcare, during the entire human lifespan - from cradle to grave.
Content
Digitalisation is affecting every spectrum of life including medicine. For example, as remote monitoring is becoming more and more feasible, it is reshaping fundamentally how medical services are organised.
Despite its promise to save costs and increase efficiency, the progress is slow because of the requirements for new competence at every level in the health sector.
The course will enable students to develop skills and competence to understand the newly emerging field of medical data science. The course aims to give students with diverse backgrounds and interests a foundation on which they can contribute to healthcare digitalisation through research and innovation.
Learning Outcomes
Upon completion of the course, students should achieve the following learning outcomes in terms of knowledge, skills, and general competence:
Knowledge
The student can
- Explain the field of medical data science and how it helps towards preventive, precise and personalised (P3) healthcare.
Understand the basic elements of:
- The fundamentals of human cell biology including genetics
- Medical and clinical data, including registry data and health data from wearable devices.
- Recognise the ethical issues and biases associated with digitalization of health data.
Skills
The student has
- Awareness about different forms of medical data (genomics, imaging, registries, health records and wearable devices) and ethical issues and biases associated with them.
- Hands-on experience on dealing with real-life medical data analysis to understand both opportunities and challenges.
General competence
The student can
- Describe state-of-art of digitalisation of health care
- Communicate and collaborate in interdisciplinary projects in the field of medical data science
ECTS Credits
Level of Study
Semester of Instruction
Place of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Teaching and learning methods
The teaching methods are organized as online teaching with digital learning resources.
- We use digital modules at Mitt UiB.
- An optional in-person session will be held on UiB's campus. Attendance is not required; it is simply an additional opportunity.
Compulsory Assignments and Attendance
Forms of Assessment
- To pass, all modules must be completed and approved.
- All modules must be completed in the same semester.
- The student has to complete all modules in before the deadline.