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:
- TREAT - aiding the implementation of antimicrobial stewardship (antibiotic treatment) in clinical practice
- AMICA - an extension of the Treat project, enabling other types of medical information to be analyzed with different algorithms
- ADICOL - optimization of insulin dosing for diabetes patients using insulin pumps