PLA-44006 Health Analytics, 5 cr
Additional information
The course is implemented in Pori, but there is also a possibility to study the course independently. If you are interested in the independent study option, please contact the person responsible for the course.
Person responsible
Pekka Ruusuvuori, Tarmo Lipping
Learning Outcomes
After passing the course, the student is familiar with the concept of clinical decision support systems and can apply this knowledge to specific health care environment. The student is familiar with the main types of health data, both structured and unstructured, as well as various health data exchange formats and principles. The student can assess knowledge bases of health data and has the skills to create new knowledge. The student can apply decision support technologies and machine learning algorithms to health data and evaluate produced results.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Overview on decision support systems and technologies in healthcare; evaluation of decision support systems | ||
| 2. | Data sources, data management and data exchange in digital health systems | ||
| 3. | Knowledge bases in clinical decision support: expert knowledge and big data sources | ||
| 4. | Decision support technologies and machine learning in healthcare | ||
| 5. | Future trends in health analytics |
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Lecture slides | No |
Correspondence of content
There is no equivalence with any other courses