KADIS: model-aided education in type I diabetes. Karlsburg Diabetes Management System.

Education and training in self-management of blood glucose control has become a permanent task for all people involved in the care of diabetic patients. Since this may be facilitated by applying state-of-the-art information technology, we have developed the decision support system KADIS (Karlsburg Diabetes Management System). It comprises computer-aided tools for (1) the evaluation (selection, aggregation, storage, statistics, graphics) of therapeutic data, e.

Computer-aided systems in the management of type I diabetes: the application of a model-based strategy.

One approach of improving metabolic control in type I diabetic patients is the application of computer-aided procedures aimed at supporting the decision on optimal therapeutic regimens. To accomplish this, a complex strategy was developed which in an individual patient permits (1) the evaluation of metabolic data by means of statistical and graphical methods, and (2) the prediction of the outcome in feedback and in non-feedback-controlled insulin therapy. The latter is realized by means of simulation, employing a structured model of the glucose-insulin control system where the model parameters can either be identified individually or be taken at random.

KADIS--a computer-aided decision support system for improving the management of type-I diabetes.

Despite the introduction of new therapeutic aids such as insulin pumps and injectors, blood glucose test tapes, particular insulin formulations, and the physiological basis-bolus principle of insulin dosage regimes, the metabolic care of most insulin-dependent patients is still insufficient. One potential tool of further improving the results in diabetes treatment consists in the application of computer-aided procedures to estimate individually optimal regimes. Employing a validated mathematical model of the glucose/insulin metabolic control system and individual sets of data from patients' self-monitoring, a software package was developed on a micro-computer which allowed both the retrospective analysis of data resulting from the therapeutic process, and the prospective simulation of the outcome of alterations in the regime in terms of glycaemia and insulinaemia.

A model-based system for the individual prediction of metabolic responses to improve therapy in type I diabetes.

Despite recent achievements such as home glucose monitoring and intensified injection regimens or insulin pumps, the metabolic care in diabetic patients is still mostly insufficient. One approach of further improving the management is the application of computer-aided procedures to estimate individually the optimal regimes. To accomplish this, a model-based strategy was developed which permits the prospective assessment of the metabolic outcome.