Loading...
Loading...
Elara captures your participants' symptoms, wearable and lab values continuously in everyday life — not just at the study visit. Standardized, anonymized and analysis-ready in your dashboard. The research stays with you; we deliver the reliable data layer.
.png&w=1080&q=75)
Patient intakeElara is the patient app — validated questionnaires and daily tracking whose data flows into your dashboard structured and without manual transfer.
Canadian Criteria, FUNCAP-27 and fibromyalgia ACR — scientifically grounded, right inside the app.
An extensive database with reference values, units and clinical explanations written for patients.
Responses flow automatically into cohorts, time series and analyses in the research dashboard.
.png&w=750&q=75)
.png&w=750&q=75)
Questionnaires can be embedded on external websites — with data returned to the embedding site.
Encrypted storage, servers in Frankfurt (EU-West-1), DPA available on request.
Installable directly on the smartphone — questionnaires can be completed without an internet connection.
Elara Health works with the ME/CFS research group at the Department of Anaesthesiology of Universitätsklinikum Regensburg as part of the ME/CFS TRACK study.
The study longitudinally investigates autonomic, functional and subjective parameters in patients with Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS). The aim is to better understand the course of the disease and possible relationships between different health parameters.
Elara Health is used here as a digital research instrument for capturing patient-reported health data in everyday life.
Our role
We see ourselves as a data and measurement partner, not as an authority over the disease. In everyday life, Elara captures the layer that ME/CFS and Long-COVID research methodologically lacks: the longitudinal axis — exertion, delayed symptom response, recovery and pacing dynamics on one shared timeline.
Depth from us, baseline from the clinic: a clean division of labor, not a hidden deficit.
Simulate the switch from unstructured raw values to the cohort-based research view.
Analysis dashboard
Your research questions take center stage. The platform brings data collection, statistical analysis and documentation together in one continuous process.
Compare groups by demographics, responses and lab results — with clear core KPIs and automated baseline statistics.
Mann-Whitney U test, Hedges' g, confidence intervals and Benjamini-Hochberg FDR correction — fully implemented.
Spot trends across months — including changes between baseline and follow-up for every biomarker collected.
Keep completeness, duplicates and inconsistencies per cohort continuously in view — with drill-down to the participant level.
Export analysis results with filter, quality and methodology metadata — transparent and ready for review and publication.
Canadian Criteria, FUNCAP-27, SF-36 and other validated scales — results flow automatically into the analysis dashboard.
FAQ
Answers to the key questions research teams ask before a cooperation.
Use our contact form. In a personal conversation we clarify which features make sense for your research question. You then receive access credentials for your personal dashboard, where you can configure questionnaires and schedules and invite new participants to your study.
Yes. Data protection is our highest priority. We use modern security standards and encryption technologies for data transmission and storage. Servers are located in Frankfurt (EU-West-1), and a DPA is available.
Pilot preparation typically covers questionnaire setup, schedules, reminders, exports and team onboarding — go-live usually within two weeks.
The longitudinal axis that many ME/CFS and Long-COVID studies lack: exertion, delayed symptom response, recovery and pacing dynamics captured in everyday life on one shared timeline. Each person acts as their own control (within-person), so the temporal sequence of exposure and delayed reaction — as with post-exertional malaise — becomes visible in a way a cross-sectional questionnaire structurally cannot capture. Severely affected, housebound patients also become reachable through passive, at-home monitoring.
Yes. No free-text tracking and no ad-hoc dumps: the core streams are mapped to recognized clinical and research standards — symptoms to SNOMED CT (plus HPO and ICD-10-GM), lab values to LOINC, activities to metabolic equivalents (MET). Vital data can be exported as FHIR R4 / Open mHealth with LOINC and UCUM — including provenance and GDPR pseudonymization, integrable without weeks of recoding.
Collaborate
We start fast. Pilot setup in under two weeks, with personal support throughout the entire study design.