Summary
Background: After a decrease of interest in classical medical expert systems, the publication
activity concerning the medical application of Artificial Intelligence and the interest
in medical decision support have markedly increased. Nonetheless, no systematic exploratory
study has yet been carried out, which directly considers the actual fields of applications,
exemplary approaches, obstacles, challenges, and future prospect as seen by pioneering
users and developers in a given region.
Objectives: This paper reports the results of an online survey designed to fill this gap with
the “Knowledge Based Systems” working group of the German Society for Medical Informatics,
Biometry and Epidemiology (GMDS) in 2010.
Methods: The survey was based on an online questionnaire (5 single and multiple choice questions,
8 Likert-scaled items, 7 free text questions) consented to by the working group. The
answers were analyzed by descriptive statistics and a qualitative analysis (bottom-up
coding). All academic institutions of Medical Informatics in the German-speaking countries
and contributors reporting KBS-related projects at the relevant scientific conferences
and in a journal specialized in the field were invited to participate.
Results: The survey reached a response rate of 33.4%. The results show a gap between the reported
obstacles of medical KBS (mainly low acceptance and rare use in clinical practice)
and their future prospect as stated by the participants. Problems previously discussed
in the literature like low acceptance, integration, and sustainability of KBS projects
were confirmed. The current situation was characterized by naming exemplary existing
systems and specifying promising fields of application.
Conclusions: The field of KBS in medicine is more diversified and has evolved beyond expectations
in the German-speaking countries.
Keywords
Knowledge based systems - medicine - online survey - German-speaking countries - potential
- future