Find Device Candidates Using Sleep
Turn passive sleep data into a MedTech device pipeline. Sleep Cycle identifies patients early and keeps them engaged.
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Increase Your Pipeline
Identify eligible candidates and keep them using the medical device.
Identify New Patients
Find qualified candidates before they seek care.
Keep Patients Engaged
Use behavioral insights to improve adherence.
Generate Real Evidence
Monitor performance and outcomes after sale.
Improve the Treatment Journey
Sleep Cycle adds measurable impact to each step of the treatment lifecycle.
Step 1: Early Risk Detection
Detect qualified candidates by identifying risk indicators.
Step 2: Diagnosis and Onboarding
Match the right device to the right patient with longitudinal data.
Step 3: Device Adherence
Encourage engagement using daily behaviour.
Step 4: Performance Monitoring
Generate longitudinal data to inform development.
Step 1: Early Risk Detection
Passively Detect Risk
Surface qualified candidates and feed them into your device pipeline before they present clinically.
- Flag users who are strong candidates for devices using passive SDB and OSA risk detection.
- Route high-risk users toward home sleep testing and clinical evaluation with in-app nudges.
- Prioritise the highest-yield cohorts with aggregate risk profiling.
- Replace costly awareness campaigns with data-qualified demand.
Step 2: Diagnostic and Onboarding
Maximise Successful Onboarding
Use months of longitudinal data to improve onboarding with the right device for the patient.
- Inform device choice and therapy mode with months of data, instead of only one titration night.
- Get a better first-fit with richer pre-treatment context.
- Establish the digital relationship at the moment of device adoption.
- Lower the diagnostic cost by reducing the reliance on repeat in-lab studies.
Step 3: Treatment and Support
Avoid Device Abandonment
Track responses, sustain motivation and keep patients using their devices between clinical touchpoints.
- Motivate device use and flag early drop-off with passive nightly tracking.
- Show the visible effects of therapies with before-and-after sleep trends.
- Improve long term use with coaching content and progress feedback.
- Trigger re-engagement with early disengagement detection.
Step 4: Performance Monitoring
Get Real-World Evidence
Support reimbursement, defend the device commercially and inform product development.
- Show how the device performs over time with continuous nightly tracking.
- Strengthen payor value with longitudinal outcomes data.
- Reduce churn with relapse and disengagement alerts.
- Inform product iteration, positioning and expansion with data insights for R&D.
Work with Us
Get in touch to explore how Sleep Cycle can benefit your MedTech device.