IN5090 – Health data and decision-making
Course description
Schedule, syllabus and examination date
Course content
A wealth of individual and public health data is generated and captured digitally. How can this abundance of data be utilized in the health sector and what is the role of novel digital technologies in actualizing health data in decision-making? The course provides students with socio-technical and organizational perspectives on data and data driven decision making in health care organization. The course gives a research-based understanding of how data is made available and used in clinical, logistical, coordinative, administrative, strategic, and research practices. This includes how data is shared and reused across functions, departments, and health care organizations, and how people work with data to make it relevant to their contexts.
Learning outcome
After completing the course, you
- Have an overview of information needs in the health sector and the main types of information systems in use
- Have an understanding of health information sharing needs and challenges within and between health care organizations and contexts
- Can discuss and problematize data driven restructuring, process improvement or behavior change in health care organizations
- 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 to utilize data and implement data driven decision making in the health sector
- Have an understanding of the organizational and socio-technical challenges and opportunities of big data and related AI approaches in healthcare
- 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
Admission to the course
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:
- Master students in the?Digitalization in the Health Sector master programme
- Master students at the Department of Informatics who has the course approved in their study plan
- Others
Recommended previous knowledge
DIGHEL4350 – Health Services and Information needs or DIGHEL4360 – Information Technology in Health Services
Overlapping courses
- 5 credits overlap with IN5330 – Health Management Information Systems (discontinued).
- 5 credits overlap with IN9330 – Health Management Information Systems (discontinued).
Teaching
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
Examination
Written home exam.
The mandatory assignments must be approved prior to the exam.
Examination support material
All
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F?is a fail. Read more about?the grading system.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.