Medical Curriculum Innovations

Project summary

Many medical and healthcare institutions have already described their curricula. The comparison of curriculum content is a challenging area, where no proven approach have been published so far. MEDCIN will introduce a new computational approach including a set of data mining and natural language processing techniques, which will be able to compare various curricula based on a standardized format. It will allow to draw a comparison between two apparently independent profiles of graduates. By using MedBiquitous standards, a wider applicability beyond the partnership will be ensured for the MEDCIN’s approach and model, disseminating more widely as an exemplar of best practice across Europe. The strength of the partnership and the experience obtained will allow MedBiquitous Europe to provide a stronger and coherent view of the European needs into developing data standards. The influence of this partnership on the discussion will ensure that future standards will have broader applicability and widespread use, and will allow them to directly further progress towards widespread European directives such as the Bologna process.

During the project, best-practice methodology for achieving comparability of higher education quality across Europe will be proposed including exemplar case study illustrating the conceptual way how these standards can be effectively integrated into the practise. This pilot implementation will represent a proven illustration of the conceptual way how the MedBiquitous standards can be effectively integrated into the practice. The guaranteed and high-quality curriculum in medical education is still essential, because medicine does not allow any gaps in the knowledge obtained during studies and any error in medical practice may lead to fatal consequences.

From the perspective of human cognition abilities, it is not possible to carefully read and verify whole curriculum (content of all learning units with all their linkages and co-dependencies). The use of proper data mining techniques and analytical methods can in-depth explore all sections of a curriculum. This is the reason why MEDCIN proposes an innovative methodological background including web-based visualization tool for comprehensive evaluation and map of medical curricula with the use of modern information and communication technologies. We aim to identify and validate novel, potentially useful patterns, which will significantly help curriculum managers/evaluators to make right decisions, and afterwards build a well-balanced medical curriculum. MEDCIN will not only eliminate poor transparencies in curricula, but will also help to improve teaching as such.

The project partnership has been based upon long-standing collaborations and awareness of each other’s work, and shared research interests between four institutions:

  1. Institute of Biostatistics and Analysis at Masaryk University (Czech Republic),
  2. Aristotle University of Thessaloniki (Greece)
  3. Karolinska Institutet (Sweden).
  4. St George's University of London (United Kingdom)