DLVSystem is proud to announce its participation in the STROKE 5.0 project, a research and development initiative funded by the Sustainable Growth Fund under the Innovation Agreements framework.

This strategic project aims to empower the pre-hospital management of stroke through the development of an advanced decision support system powered by Artificial Intelligence techniques.

Stroke is one of the leading causes of mortality and disability worldwide, and timely treatment is a critical factor in improving clinical outcomes. The pre-hospital phase, in particular, represents a decisive stage where rapid symptom recognition and accurate decision-making can significantly impact patient survival and recovery.

It is within this context that STROKE 5.0 is positioned, with the goal of reducing clinical variability and enhancing the effectiveness of medical decisions through an intelligent system designed to support healthcare professionals in emergency settings.

“By leveraging Automated Reasoning, we aim to transform the best clinical evidence into immediate operational recommendations, ensuring that every patient receives the fastest and most effective care pathway from the very first moments.”

— DLVSystem

Within the STROKE 5.0 project, DLVSystem is leading Implementation Objective 4 (OR4), focused on the design and development of the Knowledge Representation and Reasoning (KRR) system. The work began with an in-depth review of clinical best practices and stroke care pathways, adopting the advanced Swiss guidelines of the Bern Stroke Network as the project’s reference model. The team then structured the system’s knowledge base by integrating clinical information and stroke assessment scales to create logical models for interpreting patient data. Finally, the technological architecture was designed to ensure interoperability with healthcare platforms and devices, with a deductive reasoning engine at its core that combines clinical and logistical data to deliver clear and timely recommendations for healthcare professionals.

Among the expected outcomes, the system will support healthcare professionals in:

  • Assessing whether to activate the Stroke Code.
  • Contributing to the exclusion of alternative pathologies.
  • Estimating the likelihood and severity of ischemic stroke.
  • Recommending the most appropriate type of healthcare facility (e.g., Spoke or Hub) for patient referral.

DLVSystem is committed to leveraging its expertise in Artificial Intelligence to ensure the success of this cutting-edge project, which promises to deliver significant innovations in stroke management, improving the efficiency of care and, ultimately, patient outcomes.