top of page
Untitled (1300 x 6000 px) (100 x 250 mm)

1. What is RES-Q+?
RES-Q+ is a Horizon Europe project developing new ways to measure, understand and improve the quality of stroke care using digital technologies, automation, AI and patient-generated data. 

2. What is the main goal of RES-Q+?
To move stroke quality improvement beyond measurement by helping healthcare professionals and health systems identify care gaps and translate data into action through using new technologies.

 

3. What is RES-Q?
RES-Q is a global platform developed and operated by the Health Management Institute (HMI) for monitoring and improving the quality of stroke care. It enables hospitals and health systems to measure performance, benchmark results and identify opportunities for improvement.

4. How does RES-Q+ build on RES-Q?
RES-Q+ extends quality monitoring through automated data extraction, advanced feedback and analytics, interoperability, digital patient follow-up and tools supporting clinicians. 

5. What has RES-Q+ developed?
The project has developed and tested tools for automated extraction of clinical data, quality feedback and clinical support, structured discharge information, patient follow-up and patient-reported outcomes, interoperability and predictive modelling.

6. How does RES-Q+ use artificial intelligence?
AI is used to support several steps of the quality-improvement process, including extracting information from clinical documentation, supporting structured clinical information and helping transform quality data into useful insights.

7. Does AI make decisions for healthcare professionals?
No. RES-Q+ develops tools to support healthcare professionals, not replace their clinical judgement. Safety, clinical validation, transparency and human oversight are central to their development.

8. How does RES-Q+ reduce the burden of quality monitoring?
Tools developed within RES-Q+ can extract relevant information from existing clinical documentation and convert it into structured data, reducing duplicate manual data entry.

9. How does RES-Q+ help hospitals improve care?
Hospitals receive feedback and benchmarking that show where care performs well and where improvement opportunities exist. New tools can make these quality gaps easier to identify and act upon.

10. How can health authorities use RES-Q+ data?
Aggregated quality data can help health authorities understand variation in care, identify system-level gaps, monitor improvement and support evidence-informed healthcare planning.

 

11. How does RES-Q+ support better discharge information?
The project develops tools to make discharge information more structured, complete and reusable, supporting continuity of care and future use of clinical information.

12. How does RES-Q+ follow patients after discharge?
The HMI SANA patient application enables structured follow-up after stroke and collection of patient-reported information, including functional outcomes, daily activities and mental well-being.

13. Why are patient-reported outcomes important?
The quality of stroke care cannot be understood only from what happens during hospitalisation. Patient-reported outcomes provide information about recovery and everyday life after discharge.

14. How are stroke patients involved in developing RES-Q+ solutions?
Stroke survivors and patient representatives are directly involved in the design, development and testing of technologies intended for patients, helping to make them useful, accessible and responsive to patients’ real needs. The Stroke Alliance for Europe (SAFE), a European patient organisation, is also a partner in the RES-Q+ consortium.

15. How does RES-Q+ support interoperability?
RES-Q+ uses international standards, including HL7 FHIR and SNOMED CT, to make stroke-related clinical data interoperable and easier to exchange and reuse across healthcare systems and digital tools.

 

16. How does RES-Q+ ensure that patient data and AI are used responsibly?
RES-Q+ includes three legal partners — Timelex, Masaryk University and CHINO — who provide expertise on data protection, the use of patient data, AI and other relevant legal and regulatory requirements. Their involvement helps ensure that RES-Q+ technologies are developed in line with GDPR, the EU AI Act and other applicable European requirements.

17. Who is involved in RES-Q+?
RES-Q+ brings together 21 partners from 13 countries across Europe, including universities, hospitals, technology and legal experts, implementation organisations, patient organisations, international stroke organisations and public health institutions.

18. Who coordinates RES-Q+?
The project is coordinated by Institute of Health Information and Statistics of the Czech Republic (IHIS), with Prof. Robert Mikulík as the project’s scientific lead.

19. How is RES-Q+ funded?
RES-Q+ is funded by the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101057603.

20. How long does the project run?
RES-Q+ is a four-year project that started in November 2022 and has been extended until January 2027.

21. What happens after RES-Q+ ends?

The results of RES-Q+ will continue beyond the project through further development, validation and implementation within the RES-Q ecosystem and healthcare practice, helping healthcare professionals improve the quality of stroke care and supporting patients throughout their recovery.

Untitled (1300 x 6000 px) (100 x 250 mm)
Funded by the EU

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

  • Facebook
  • Twitter
  • LinkedIn

© 2026 Health Management Institute

bottom of page