For structured clinical use.
- Schnell in der Anwendung
- Objektiv in der Bewertung
- Zukunftssicher in der Integration
From screening to clinical decision-making
One system.
One continuous data flow.
Stroke Helper does not end with screening.
The data collected within the app seamlessly flows into Stroke Helper Pro — structured, time-stamped, and fully transferable. What is captured on mobile is immediately available to the clinical team.
From digital signal to clinical interpretation
In the Pro version, these data are not only displayed, but clinically evaluated, supplemented, and placed into a medical context. Advanced neurological functions support clinical workflows and transform individual data points into a reliable basis for decision-making.
This creates a closed-loop system:
Screening in the app — analysis in Pro — continuous development in the background.
Clear structures for different roles within the healthcare system
Designed for clinical practice
Emergency room
Stroke Unit
Research & clinical studies
Structure creates confidence
Stroke Helper Pro transforms unstructured individual data into structured, reproducible datasets.
In clinical practice, this means:
- faster orientation
- documented longitudinal comparisons
- objectifiable additional parameters
- clean export capability
The Pro version complements clinical expertise - it does not replace it.
Interoperability as a foundation
- Integration in FHIR-Server
- Anbindung an bestehende IT-Infrastrukturen
- Studienexport
- Zukunftssichere Architektur
Stroke Helper Pro bleibt autark einsetzbar – ist aber interoperabel vorbereitet.
App. Clinical. System.
Apple Health
Understand progression. Classify acute events.
Stroke Helper Pro enables the import of relevant data from Apple HealthKit. Activity patterns, mobility data, and physiological changes can be correlated with acute events.
What begins in the consumer app is continued in the clinical context:
Longitudinal data help identify changes prior to stroke and enable transparent documentation of developments in the hospital.
It’s not just the moment that matters — but the pattern leading up to it.
Facial analysis
The asymmetries identified in the app are visualized in Stroke Helper Pro and can be further documented over the clinical course.
This creates an objective basis for comparison:
- Initial abnormality
- Hospital admission
- Progress under therapy
Digitale Analyse trifft auf klinische Beobachtung.
Speech monitoring
Speech abnormalities identified in the app are carried over into the Pro version and supplemented with additional longitudinal recordings.
Whether articulation, word retrieval, or intelligibility — progression in the hospital can be documented and compared with the baseline.
A digital indication becomes a traceable clinical course.
Clinical extensions
- Medikamente
- Behandlungen
- BE-FAST Bewertung
- weitere Assessments
So entsteht eine vollständige Dokumentationsstruktur – vom ersten digitalen Screening bis zur therapeutischen Maßnahme.
Advanced modules
- Gesichtsfeldanalyse
- Finger-Nose-Test
Modularly expandable
- Additional assessments can be integrated
- Expandable for new clinical requirements
- Future-proof through an FHIR-based architecture
Transparency
- App included in the dataset
- Algorithm version documented
- Traceable timestamps of data creation
Privacy-first
- Local data storage by default
- Export only upon explicit authorization
- Pseudonymization possible
The lab behind the scenes
MIRA Ai
MIRA AI is the analytical foundation of Stroke Helper and a proprietary in-house development.
Here, data is validated, models are trained, and new features are continuously developed.
