Clinical Sleep Health offers a framework that integrates sleep health into hospital patient care, turning sleep into a coordinated, measurable component of treatment. By providing tools and protocols for clinicians to assess, monitor, and improve patients' sleep during hospitalization, the platform helps health systems address a traditionally overlooked aspect of recovery and enhance overall health outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitalized patients often experience disrupted sleep, but hospitals lack standardized processes to assess and manage sleep health, leading to inconsistent care across departments and missed opportunities to support recovery.
Solution
Clinical Sleep Health Care™ provides a coordinated platform that embeds sleep assessment and treatment into existing hospital workflows. The system establishes standardized protocols for screening, monitoring, and intervening on sleep disturbances throughout a patient’s stay. By integrating with electronic health records and care team communication tools, it ensures that sleep-related data are visible to all relevant clinicians. This enables consistent, cross‑departmental management of sleep health, aligning it with other treatment plans to promote overall patient recovery.
Target Audience
Primary users are hospitals and health systems seeking to incorporate sleep health into inpatient care, including physicians, nurses, and care managers across medical, surgical, and intensive care units.
Features
- Structured sleep assessment templates that can be launched at admission, during stay, and at discharge
- Automated alerts and care pathways that trigger evidence‑based interventions (e.g., environmental modifications, medication adjustments, referral to sleep specialists)
- Integration with hospital EHRs to capture sleep metrics alongside other clinical data for unified patient records
- Dashboard for care teams to track sleep health status, compliance with protocols, and outcomes across units
- Reporting tools that provide analytics on sleep‑related metrics to support quality improvement initiatives