Decision Support Systems

Even if the data is compiled into a homogenous environment, filtered and presented in a simple and accessible way it can still be an overwhelming task for the user to deduce the proper decisions from it. This is where decision support systems can make a big difference. Decision support systems can make existing knowledge easy accessible, reveal hidden dependencies, support existing practices, present dynamically validated options, guide user through a predefined workflow etc.

Judex has successfully been developing decision support systems right from the start, using many different types of mathematical algorithms, rule-based systems, neural networks, and causal networks. Validating a decision support system clinically is one of the most demanding but necessary steps. Frequently this can only be done through clinical international multi center studies. Judex has successfully been a partner in a number of such validation processes.

Some of Judex decision support systems projects:

• ADICOL – optimization of insulin dosing for diabetes patients using insulin pumps.
• TREAT – a decision support system aiding in antibiotic treatment addressing the problems of multi resistance bacteria's.
• AMICA – an extension of the Treat project, extending it to generic medical information and enabling other types of medical information to be analyzed with different decision support algorithms at the "point of care".