K-SkAI announces preparations for the release of a new version of Webiomed, the predictive analytics and risk management system in healthcare based on artificial intelligence.
The main task that was set for the team of researchers and developers of the system was to expand the predictive capabilities of the Webiomed platform, increase the number of supported clinical conditions for analysis, improve accuracy in risk group assessment, and increase productivity.
The new version of Webiomed includes the following improvements:
1. New architecture for the interaction of services within the Webiomed platform, which allows providing the following critical features:
- Automatic connection of medical data obtained from different medical organizations. Now Webiomed can automatically connect the data inside the de-identified databank when requests are received. This allows significant improvement of the predictive accuracy of models and algorithms. For instance, if earlier the system received requests for risk assessment separately from various types of medical organizations such as ambulance stations, hospitals or ambulatory care settings, now Webiomed…
