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This course aims to introduce students to health care organization and management, and how this affects public health. There is a special focus on the opportunities offered by digitization and how these can be utilized in quality and improvement work.

This course provides students with in-depth knowledge in the field of digital health from an entrepreneurship perspective. Domains of digital health, needs-based innovation including prototyping, usability and testing as well as data management, intellectual property, reimbursement, business models, ethics and future trends will be discussed and analyzed.

The Statistics module covers:
Basic test theory; 2-tests for contingency tables; t-Test; non-parametric tests; analysis of variance (ANOVA); multiple testing; power calculations; calculation rules for probabilities and neurobiological applications; guidelines for choice of analysis strategy; software implementations; effect size based hypothesis testing
The Scientific writing module:
- Introduction into general guidelines and rules for scientific writing
- Introduction into the elements of style
- Analysis and discussion of scientific texts
- How to improve and correct a text
- Practices in writing. Students will write their own texts and correct and make suggestions for improvements of the texts of others
Research ethics module covers:
- Main approaches and methods in current research ethics
- Ethical standards of good scientific practice
- Ethical issues related to research with humans
- Ethical issues related to animals
- Ethical issues related to research with biological material

The course aim is that the doctoral student develops a theory of science approach by enabling the doctoral student to understand, employ, reflect upon and critically assess concepts and ideas of theories of science as well as their implications for in particular medical scientific practice. A further aim is to enable the doctoral student to understand, reflect upon and critically assess views on and implications of definitions of health and disease.
The course is given online. The teaching and learning activities used are web lectures, written examination, individual writing exercises, an individual written assignment, and reading of course literature and other distributed materials.