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Medical Informatics

6 ECTS credits
180 h study time

Offer 1 with catalog number 4017217ENR for all students in the 2nd semester at a (E) Master - advanced level.

Information about this course is applicable on academic year 2017-2018.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method

Grading (scale from 0 to 20)

Can retake in second session
Yes
Taught in
English
Partnership agreement
  • Under interuniversity agreement for degree program
Faculty
Faculty of Engineering
Responsible organisation
Biomedical Statistics and Informatics
Educational Team:
Activities and contact hours
  • 30 contact hours Lecture
  • 30 contact hours Seminar, Exercises or Practicals
Course content

The student gets an up-to-date view of the e-health field, on the architectural, technical and organizational levels. The course is illustrated by hands-on computer-class exercises on web technology, encryption, on-line databases and all this combined into the elaboration of a simple electronic medical record.

An in-depth analysis is made of e-health achievements, both in developed and in developing countries, with references to the roles played by local, regional and international bodies such as WHO, standards organizations, professional and scientific associations.

Moreover, some professional software packages  such as “out-of-hours” records and “OpenClinic” are demonstrated and applied hands-on.

Course material
Additional info

Hand-outs, own notes and website with up-to-date documentation and related articles: http://minf.vub.ac.be/marc/medinf available via “Minerva” and via “Pointcarre”.

"Medical Informatics", J.H. Van Bemmel, M.A. Musen, Springer, 1997 ISBN 3-450-63351-0

Programme Objectives

Algemene competenties

The student can:

  • operationalize medical databases
  • evaluate e-health systems
  • differentiate between well- and poorly designed ICT systems in health care
  • apply and evaluate the most relevant principles of privacy and security in medical informatics applications
  • evaluate e-health projects on the technical and system levels

This course contributes to the following programme outcomes of the Master in Applied Computer Sciences:

MA_A: Knowledge oriented competence

2. The Master in Engineering Sciences has in-depth knowledge and understanding of integrated structural design methods in the framework of a global design strategy
3. The Master in Engineering Sciences has in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes
4. The Master in Engineering Sciences can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
7. The Master in Engineering Sciences can present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience
8. The Master in Engineering Sciences can collaborate in a (multidisciplinary) team
10. The Master in Engineering Sciences can develop, plan, execute and manage engineering projects at the level of a starting professional
11. The Master in Engineering Sciences can think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information

MA_B:  Attitude

12. The Master in Engineering Sciences has a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
13.The Master in Engineering Sciences has a critical attitude towards one’s own results and those of others
14. The Master in Engineering Sciences has consciousness of the ethical, social, environmental and economic context of his/her work and strives for sustainable solutions to engineering problems including safety and quality assurance aspects
15. The Master in Engineering Sciences has the flexibility and adaptability to work in an international and/or intercultural context
16. The Master in Engineering Sciences has an attitude of life-long learning as needed for the future development of his/her career

MA_C:  Specific competence

17. The Master in Applied Computer Sciences has a thorough understanding of the underlying physical principles and the functioning of electronic and photonic devices, of sensors and actuators and is able to use them to conceive information processing systems and more specifically systems of systems
20. The Master in Applied Computer Sciences is able to design (distributed) systems of systems and execute performance assessment of the designed product
21. The Master in Applied Computer Sciences has a thorough knowledge of programming concepts and can apply them in smart systems of systems
22. The Master in Applied Computer Sciences has a thorough knowledge of hardware platforms, operating systems, firmware and their impact on smart systems of systems
23. The Master in Applied Computer Sciences is aware of data privacy and security aspects
26. The Master in Applied Computer Sciences can apply his/her acquired knowledge and skills for designing smart city or digital health dedicated systems of systems.
27. The Master in Applied Computer Sciences is aware of and critical about the impact of ICT on society.

Grading

The final grade is composed based on the following categories:

  • Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

Examen with a relative weight of 1 which comprises 100% of the final mark.

Additional info with regard to grading

Group Presentations, in open discussion by the whole class