Hybrid
e-cohorts
combine 1,2,3 or 4 data sources on an agile digital platform as to enhance credibility and study robustness.
... and to provide outcomes sooner to all stakeholders.
Combine various data sources
with an agile and secure digital platform
Adaptive scheduling
Personalized ePRO
Smart reminders via SMS | email
Advanced CRF multi-lingual interface and storage
Quick inclusion mode
Insights and alerts (optional)
Environmental or disease activity tracker
Machine learning processing (1)
Approved SNDS (France) services supplier
In-house senior data expert
(1) Gossec L, Guyard F, Leroy D, el Al. Patient-Reported Flares Were Correctly Predicted By an Algorithm Using Machine-Learning Statistics on Activity Tracker Data on Steps, in a Longitudinal 3-Month Study of 170 Patients with Rheumatoid Arthritis (RA) or Axial Spondyloarthritis (axSpA) [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10)
browse e-poster (2017)
Enhance credibility and study robustness
and provide outcomes sooner to all stakeholders
Investigators
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Ease trial onboarding
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Increase inclusions
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Real time insights
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Reduce data collection effort
PATIENT
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Accurate forms (2)
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Less effort
+ smart reminders
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Anywhere, anytime
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Privacy by design
(2) In collaboration with sociologists and major patient associations, Sanoïa provides patient form optimization and patient acceptance testing services.
Sponsor
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Lowering of attrition rate
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Maximize the
follow-up
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More exploitable data
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CRO-operated patient assistance
funder
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Cost optimization
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Make your trial stand out
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Earlier publication opportunities
Digital CRO
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Real time statistics = agile monitoring
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Ancillary projects made easy
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Adaptive trials by design
