RES-Q+ (Comprehensive solutions of healthcare 
improvement based on the global Registry of Stroke Care Quality)

RES-Q+ is a collaborative project under the Horizon Europe programme, that will capitalise on the successful Registry of Stroke Care Quality (RES-Q), used for collecting and analysing quality of stroke care. With 93 countries and 2 089 hospitals involved, RES-Q is the largest stroke care registry in the world. So far, only in-hospital information is captured. In addition, RES-Q+ will capture the entire patient pathway including post-discharge care. The team will deploy artificial intelligence (AI) in the fight against stroke in Europe, with the aim of making the knowledge of the top specialists available to both stroke patients and general practitioners. A fully automated tool for obtaining and processing data on the provided healthcare will be developed. A major expansion of the existing platform is also the creation of two AI-enabled virtual voice assistants, one helping patients monitor their health condition and the other assisting physicians in stroke care management.

Project ambitions
Decrease healthcare costs by higher efficiency, safe patients’ lives by improving stroke care, improve the quality of European healthcare systems.

In detail, our objectives are:
Create Virtual Assistants.

Develop an innovative Natural Language Processing tool to analyse unstructured and heterogeneous data from multiple languages into an EU-standard format.

Harmonise data semantically and provide standardised exchange interface for data reuse. 

Develop tools to analyse data for end-users.

Design, assess, clinically validate and refine usable, trusted services and draft an EU Hospital Discharge Report standard.

Establish European Open Stroke Data Platform.

Create a European space for ethically- and legally-compliant health data collaboration in the domain of stroke care.

Translate RES-Q+ into health policies and clinical practice for more accessible high-quality care and standardisation.


 What is a Virtual Assistant

Virtual Assistant is an application, that understands human voice and acts on human commands. It can converse with people, answer their questions, advise them etc.

Virtual Assistants in RES-Q+:
 We will develop two applications - one for patients, one for clinicians.



The patients’ virtual assistant will help people who suffered from stroke to keep track of their health via questionnaire-based outcome assessments (such as the modified Rankin scale) via a mobile application in a conversational interface.


The clinicians’ virtual assistant will help doctors understand the performance of their hospital based on data analysis by different healthcare professional end-users (for example, nurses, doctors, hospital managers) and predictive models.



 What is Natural Language Processing

Natural language processing is a part of artificial intelligence that gives computers ability to understand and process written text as a human being can. It can automatically extract, classify and understand a meaning of huge volumes of raw, unstructured, and unlabeled text.

Natural Language Processing in RES-Q+:

We will develop automatic methods for mining RES-Q-required data from unstructured healthcare documents (for example, hospital discharge reports) based on the state-of-the-art machine-learning and Natural Language Processing.


Project Consortium

13 European countries

21 partners




 Technical partners
 Institute of Health Information and Statistics of the Czech Republic (Coordinator)

 Aalborg University (Co-coordinator) Technological University Dublin SIRMA AI EAD (Ontotext)

 ALANA AI SA Limited University of Glasgow University of Murcia Charles University

 Dissemination partners
 Boehringer Ingelheim International GmbH (Angels Initiative)

Health Management Institute World Stroke Organization Stroke Alliance for Europe



Clinical partners
 University Hospital Bucharest

  Vall d'Hebron Institute of Research Institute of Psychiatry and Neurology

 National & Kapodistrian University of Athens


   Masaryk University

  International Clinical Research Center of St. Anne’s University Hospital Brno

 Multi-Profile Hospital for Active Treatment in Neurology and Psychiatry "St. Naum“



Coordinator: Prof. Robert Mikulik, M.D. - Institute of Health Information and Statistics of the Czech Republic (

Co-coordinator: Assc. prof. Hendrik Knoche - Aalborg University (

 Project Manager: Veronika Svobodova - Institute of Health Information and Statistics of the Czech Republic (

Follow our progress on!


Overall Information

Budget: € 7 702 741 from EU

Duration: 4 years (1. 11. 2022 - 31. 10. 2026)

Grant Provider: European Commission

Program: Horizon Europe Research and Innovation Action


Topic: HORIZON-HLTH-2021-TOOL-06-03 Innovative tools for use and re-use of health data (in particular of electronic health records and/or patient registries)

Project Number: 101057603