IN5090 – Health data and decision-making

After completing the course, you

• Have an overview of information needs in the health sector and the main sources of health data
• Have an understanding of health information sharing needs and challenges within and between health care organizations and contexts
• Can demonstrate familiarity with specific health data standards and their role in integration of health data
• Demonstrate familiarity with theories and concepts relevant to understand information use practices in organization
• Can analyze and identify opportunities and challenges for utilizing data driven decision making, including AI tools, in the health sector
• Can discuss and problematize data driven restructuring and process improvement in health care organizations
• Can describe and discuss legal, regulatory and ethical issues relevant to digitalization and data driven decision-making in health care organizations, including security, privacy and confidentiality

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

Capacity limit: 40

If the number of enrolled students is higher than 40 they will be ranked as followed:

1. Master students in the Digitalization in the Health Sector master programme
2. Master students at the Department of Informatics who has the course approved in their study plan
3. Others

2 hours of lectures per week.

Seminars with discussion and group work, 2 hours per week

The following mandatory activities are:

• Attending the first lecture
• Participation in projects and seminars with mandatory assignments

Oral exam.

The mandatory assignments must be approved prior to the exam.

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.

Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.