Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Institut für Informatik

Probevortrag zur Promotion: PD Dr. med. Felix Balzer

  • Wann 13.07.2016 von 15:00 bis 16:00
  • Wo Rudower Chaussee 25, Raum 3.011
  • iCal

Herr PD Dr. med. Felix Balzer wird einen Vortrag halten zum Thema "Technology-enhanced curriculum mapping and algorithmic patient allocation in undergraduate medical education"



Medical education is based on one of the fastest evolving areas of current scientific research, and therefore underlies constant adaptations. Simultaneously, the foundations of higher education have been questioned and moved into the 21st century in an attempt to optimise the formation of medical professionals. Methodologically rooted in computer science, this thesis intersects with the domain of medical education as it reflects the development of the curriculum management system LOOOP (=93Learning Opportunities, Objectives and Outcome Platform=94), putting technology enhanced curriculum mapping into practise.
Access to patients has been recognised as an important resource in medical education and becomes yet increasingly difficult to guarantee. Extending the paradigm of curricular mapping to patient allocation in undergraduate training, this work investigates different algorithmic approaches. Patient allocation during curriculum design has been achieved by alignment of learning objectives and clinical routine data. In existing curricula, three variants of an algorithm are proposed to re-allocate courses for optimising the match of best-suited patients with most appropriate patient-centred learning opportunities.
The thesis concludes with an evaluation of the perspective of students, university teachers and curriculum planers as major stakeholders. Evaluation of LOOOP usage by students revealed that promotion of the system among both students and university teachers was necessary for widespread utilisation and students=92 satisfaction. Promoting the software without respective support from teachers did not result in significant changes when compared to the traditional system before LOOOP was implemented. When LOOOP was promoted by both students and university teachers, performance on exams improved significantly as well. Assessing teacher=92s perspective on LOOOP revealed widespread acceptance and improvement of curricular management and organisation compared to the traditional system without curricular mapping. While the visualization of content and student competencies was well perceived for a specific course, open issues for future investigations lie in the representation of acquired knowledge in a greater curricular context, i.e. in relation to previously attended learning opportunities. Furthermore, analysis revealed that specific knowledge of technology was not required to effectively use the evaluated system. From the standpoint of curriculum designers, an evaluation of the new approach for algorithmic patient allocation in existing curricula yielded that approximately two thirds of all course sessions affected by patient shortage could be resolved by applying several variants of the algorithm, each of which proved to have different strengths.