Treatment planning for complex diseases such as cancer, diabetes or cardiovascular diseases demands highly involved decisions from physicians. The indication of therapy concepts must be thoroughly checked and curing chances and complication risks carefully balanced. Typical circumstances of clinical routine such as major time pressure and limited access to medical literature turn error-free decisions about optimal therapy concepts into a very difficult task.
Clinical decision support systems provide physicians with major help for treatment planning. Knowledge databases allow for quick access to medical expertise, algorithms based on predicate logic check medical indications automatically and multi-criteria decision making methods support the balancing of curing chances and complication risks.
Physicians can with the assistance of such systems make quick and error-free therapy decisions for an optimal treatment of their patients.