NOLedgeTM
Agile pain-related insights for clinics and home care
*Currently for investigational use only
Quantifying the physiological impact of pain to improve control, compliance and outcomes
On our path to improving pain care across diverse care settings, we are harnessing our AI capabilities with NOLedge™ – an agile physiological insights platform.
By transforming physiological data from multiple sources into pain-related insights, Medasense is positioned to lead prediction, patient stratification and prevention strategies.
Cloud-Based Platform
Our wireless finger probe collects patient data, which is processed and analyzed in the cloud.
Personalized Insights
Pain insights enabling personalized and optimized treatment are generated and displayed in an app.
Customized Interface
Tailored user interface to meet the needs of each clinical setting and the individual user.
A game changer in clinic and home-based care
For Patients
Providing objective feedback on individual pain trends and therapy progress
Improving self-management and treatment compliance
Regulating patient anxiety
For Providers
Providing objective information for effective decision making
Streamlining patient status tracking follow up on patient status and treatment effectiveness
Managing internal performance
For Payers
Standardizing patient pathways, reducing variability
Enabling a smarter reimbursement scheme
The Physiological Principles Behind NOL
NOL is based on a proprietary, patented artificial intelligence technology that quantifies the individual physiological response to pain in real-time, continuously and noninvasively.
Activation of the sympathetic nervous system, as a result of multiple stimuli and inputs, leads to a constellation of nociception-related physiological responses, with complex inter-associations and different response profiles. Recognizing the complex nature of this process, the Nociception Level (NOL) index was developed as a multiparameter composite of autonomic signals.
Activation of the sympathetic nervous system, as a result of multiple stimuli and inputs, leads to a constellation of nociception-related physiological responses, with complex inter-associations and different response profiles. Recognizing the complex nature of this process, the Nociception Level (NOL) index was developed as a multiparameter composite of autonomic signals.