Thryve supports digital health solutions for over 1 million users across Europe.Our infrastructure powers engagement, prevention, and outcomes tracking for leading:
K4Connect partnered with Thryve to bring secure, real-time wearable data into its digital health ecosystem for senior living. By integrating Thryve’s API into K4Community Plus and FusionOS, the platform enables residents to connect their wearables while care teams gain seamless access to health insights. This scalable solution supports better remote monitoring, improved engagement, and clinical integration across diverse device types.
Early detection of symptom changes or risk escalation becomes possible through continuous wearable insights, enabling care teams to intervene sooner. These real‑time behavior trends allow personalized care pathways that adapt to each individual’s needs, while improving adherence and supporting better self‑management. As a result, providers can reduce hospital readmissions and avoid unnecessary in‑person visits.
Thryve enables all of this through its plug‑and‑play infrastructure, GDPR‑compliant architecture, and broad compatibility with leading wearable devices.
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Thryve is engineered to meet the highest data protection standards in healthcare. Our platform ensures secure handling of sensitive information while giving partners peace of mind through proven, auditable safeguards.
Thryve connects seamlessly with hundreds of wearable devices and medical-grade sensors to capture real-time data on vital health metrics, such as heart rate, blood pressure, oxygen saturation (SpO₂), glucose levels, sleep, activity, and more. Our platform ensures clinical-grade accuracy, enabling healthcare providers to monitor patients remotely with confidence and care continuity.
Unlock the full value of remote patient monitoring by choosing Thryve.
Capture biometric and behavioral signals such as:
Heart rate, HRV, SpO₂, respiratory rate
Sleep stages, regularity, duration
Daily activity, movement intensity, and sedentary time
Blood glucose (via connected devices)
Generate 24/7 health profiles and identify risk deviations, whether it’s elevated resting heart rate, irregular sleep, or low recovery trends. Automatically flag changes based on clinical logic.
Set condition-specific activity, sleep, and recovery goals with dynamic adjustment. Improve patient engagement with real-time feedback, digital nudges, and progress tracking.
API access to 500+ wearable and device sources
SDK for in-app data collection and goal setting
Data normalization and visualization modules
Event-driven triggers to power remote workflows
