Onera Health integrates home sleep testing solution with Somnoware platform

Onera Health announced that its home polysomnography solution, the Onera hPSG, now integrates with Somnoware by ResMed sleep lab management software, enabling clinicians to conduct and manage comprehensive sleep studies performed in patients' homes through a single platform workflow.

The integration allows sleep centers that use both systems to access study results in Somnoware for review, interpretation and management as soon as a study is complete, eliminating manual file transfers and the need to switch between platforms.

"Many sleep centers are customers of both Onera and Somnoware," said Ruben de Francisco, founder and CEO of Onera Health. "We are very pleased that the integration of our cloud-based platforms will enable clinicians to benefit from a streamlined clinical workflow while providing access to comprehensive sleep diagnostics, including web-based study review and reporting capabilities."

Home polysomnography has emerged as a potential solution to capacity constraints that have limited patient access to gold-standard sleep testing. Shortages of in-laboratory beds, technicians and sleep physicians have contributed to escalating costs and delayed diagnoses for patients with sleep disorders, according to the company.

The Onera hPSG is designed to go beyond obstructive sleep apnea detection by providing comprehensive diagnostic data to sleep medicine physicians. The company said the Somnoware integration is intended to make that capability more accessible by fitting into existing clinical workflows without added administrative burden.

Home sleep diagnostics gaining ground as technology, workflows mature

The integration of home-based polysomnography into mainstream clinical workflows reflects a broader shift underway in sleep medicine, where advances in sensor technology, cloud-based data management and remote patient monitoring are reshaping how sleep disorders are detected and treated.

For decades, the in-laboratory sleep study remained the diagnostic gold standard — and for good reason. A full polysomnography captures a comprehensive range of physiological signals, including brain activity, eye movement, muscle tone, cardiac rhythm and respiratory effort, providing clinicians with a detailed picture of a patient's sleep architecture. But the logistical demands of laboratory-based testing have long constrained its reach. Patients must travel to a facility, sleep in an unfamiliar environment and compete for a limited number of monitored beds, creating bottlenecks that delay diagnosis and discourage follow-through.

Home sleep apnea testing, or HSAT, emerged as a workaround for straightforward obstructive sleep apnea cases, but its diagnostic scope was limited compared to full PSG. The more recent development of home polysomnography — devices capable of capturing the same breadth of signals as in-lab studies while patients sleep in their own beds — has begun to address that gap, extending the diagnostic reach of sleep medicine without sacrificing clinical rigor.

Driving this evolution is a convergence of miniaturized biosensor hardware, improved signal processing algorithms and cloud-connected platforms that allow data to be securely transmitted, reviewed and interpreted remotely. Sleep medicine physicians can now access full study data without the patient ever leaving home, and software integrations with established lab management systems are increasingly allowing those results to flow directly into existing clinical workflows.

The clinical implications are significant. Sleep disorders, including obstructive sleep apnea, insomnia, restless leg syndrome and circadian rhythm disruptions, are widely underdiagnosed. Estimates suggest that tens of millions of Americans have undetected sleep conditions, with barriers such as geographic distance from sleep centers, long wait times and patient reluctance to undergo in-lab studies contributing to that diagnostic gap.

Payers have also taken note. Reimbursement pathways for home-based sleep testing have expanded in recent years as evidence supporting its clinical equivalence to laboratory studies has grown, helping to reduce a financial barrier that previously limited adoption among providers and patients alike.

As the infrastructure supporting home sleep diagnostics matures — from hardware and software to billing and clinical integration — the field is moving toward a model in which comprehensive, high-quality sleep testing is no longer defined by where it takes place, but by the depth of insight it delivers.