TRUSTED BY

Harvard university

Fill Your Patient Funnel

Reach and retain more patients through passive sleep signals, improving clinical effectiveness along the way.

Identify New Patients

Find the patients you’d otherwise miss.

Data from Day One

Walk into every consultation with easy, accessible data from day one.

Keep Patients Engaged

Turn discharged patients into a managed population.

Improve the Patient Journey

Sleep Cycle adds measurable impact to each step of the patient lifecycle.

Step 1: Population Screening

Passively monitor potential patients at scale, detect risk signals and route the highest priority individuals into the diagnostic pathway.

Step 2: Diagnostic Assessment

Access months of longitudinal, objective data, replacing the paper sleep diary and shortening the path to diagnosis.

Step 3: Treatment and Support

Monitor adherence, track responses and keep patients engaged between clinical appointments using daily behaviour.

Step 4: Long-term Monitoring

Keep the clinical relationship alive by detecting relapse, monitoring outcomes and turning discharged patients into a managed population.

Step 1: Population Screening

 

Identify At-Risk Individuals

Most sleep clinic patients arrive after years of undiagnosed symptoms.

  • Identify fragmented sleep patterns, deterioration in sleep data, and disordered breathing including OSA risk detection.
  • In-app nudges and clinical alerts direct high risk users toward a sleep clinic consultation.
  • Reach populations that would never self-refer through traditional channels with corporate wellness and insurance partnerships.
  • Prioritise outreach to the highest need cohorts with population level segmentation.

Step 2: Diagnostic Assessment

 

Streamline the Diagnostic Process

Diagnosis can be constrained by time, cost and limitations. Access longitudinal data from the first appointment.

  • Access months of objective data captured passively with a smartphone.
  • Replace a sleep diary and wearables with structured data, free from recall bias and inaccuracies.
  • Reduce the number of appointments and repeat studies before making a confident diagnosis.
  • Get a richer clinical picture with rich trend data, anomaly flags and night-by-night variability that a single-night study can’t provide.

Step 3: Treatment and Support

 

Enhance Your Treatment Plan

Add a daily behavioural layer to monitor adherence, track responses and keep patients engaged.

  • Use passive nightly tracking to verify whether behavioral prescriptions are followed between appointments.
  • Motivate patients to continue device-based and psychological treatments by tracking improvements in sleep quality.
  • Get objective evidence of treatment efficiency to support decision making.
  • Keep patients actively engaged between clinical visits with personalized coaching and progress tracking.

Step 4: Long-term Monitoring

 

Passively Monitor Patients

Turn discharged patients into a managed population by tracking adherence, detecting relapse and measuring outcomes.

  • Continuous nightly tracking means discharged patients are still generating clinical signals without the need for check ins.
  • Reduce readmission rates and clinical burden with automated deterioration alerts to flag patients who need clinical reengagement early.
  • Access longitudinal sleep outcomes data for reporting to insurers and employers.