Case: Forsante

Clinical care guidelines guide physicians’ work in treating diseases. Researchers at Aalto University’s House of AI center and the software company Forsante have, in a joint research project, developed a way to automatically convert care guidelines into usable and auditable rules. This can reduce physicians’ manual work and support the systematic and transparent adoption of care guidelines in AI-based systems.

“By combining the interpretive capacity of large language models with the precision of logic-based AI, the research paves the way for more scalable and transparent clinical decision support systems that can accelerate the digitalization of care processes in healthcare,” says Mikko Tiihonen, founder of Forsante.

The collaboration began when Forsante wanted to streamline the programming of rules for an existing logic-based AI module and improve the maintainability and adaptability of those rules. Traditionally, manually modeling rule-based systems has been laborious and has required specialized clinical expertise.

“The results of the research have been very encouraging. The work has shown that clinical guidelines can be automatically converted into high-quality and logically consistent rules without heavy manual programming. This creates a strong foundation for scalable, updatable, and reliable clinical decision support systems,” says Professor Heikki Mannila.

“The collaboration between Aalto University and Forsante demonstrates how top-level academic research and practical AI applications in healthcare can together promote high-quality care and the digitalization of healthcare,” notes Antti Särelä, CEO of Forsante.

For more information 

Sami Heinäsmäki, Aalto University 

Antti Särelä, Forsante Oy