As technology continues to advance, one of the most promising innovations in healthcare is the development of digital tools that support both patients and clinicians. These include virtual assistants (VAs) for patients and healthcare providers, as well as the Discharge Importer Tool (DIT), which uses natural language processing (NLP) to streamline data entry into the RES-Q registry.

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The patient-facing virtual assistant supports stroke survivors by providing reliable information, guidance throughout their recovery, and continuous connection with their care team. This reduces feelings of isolation, improves engagement, and encourages adherence to treatment plans. On the clinical side, a dedicated VA assists healthcare professionals with routine tasks, analyzes patient data, and predicts outcomes – freeing up time for patient care and informed decision-making. These AI-driven tools are adaptive and designed to make the stroke care journey more efficient, personalized, and connected.

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To further reduce the administrative burden, the Discharge Importer Tool reads discharge summaries written by clinicians and automatically extracts key data for input into RES-Q. Supporting seven languages, the DIT is trained on real clinical workflows and includes an interface that allows clinicians to review and confirm extracted data before final submission– ensuring accuracy and completeness. This directly addresses common issues related to incomplete or delayed data caused by time constraints and heavy workloads.

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Developed with input from hospitals and clinicians across Europe, these tools aim to improve stroke care by enabling more timely, accurate, and actionable insights—enhancing both registry data and real-world outcomes.