Empowering Preventive Care with Real-Time Health Monitoring

Wearable Healthcare Devices

From Hospital Beds to Smartwear—Monitor Anytime, Anywhere

Healthcare That Moves With the Patient

At Tech4LYF, we engineer and integrate Wearable Healthcare Device Solutions that enable hospitals, health-tech brands, and fitness providers to collect real-time patient data—remotely and securely. From heart rate and SpO2 to activity, temperature, sleep, and ECG—we help you connect wearables to cloud-based dashboards, EMRs, and alert systems for better care, faster response, and proactive wellness management.

15+
Device Types Supported
Watches, patches, smart rings, IoT bands
20+
Health Metrics Tracked
Including HR, BP, SpO2, ECG, sleep & activity
100+
API & Cloud Integrations
With hospitals, insurers, and fitness apps
30+
Projects Delivered
Across wellness, diagnostics, and remote care
Smart Devices, Smarter Insights

Features of Our Wearable Integration Stack

We connect devices via BLE, Wi-Fi, or SIM using native SDKs and custom protocols.

Capture and stream vitals to care dashboards with alert thresholds and color-coded indicators.

Mobile and web interfaces for users to track their own vitals, activity, and health history.

Role-based access for doctors and caregivers to view assigned patient data.

Auto-notify doctors, family, or ambulance service if any critical metric is breached.

Push data securely to hospital records, insurance portals, or central health systems.

“We worked with Tech4LYF to launch a wearable-based diabetes management app—our users now track sugar levels, vitals, and get real-time alerts to avoid health dips.”

— Dr. Avinash Dey,

CTO, Glucotap Wellness Pvt. Ltd.

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IoT, Health, and Cloud—All Engineered in Sync

Why Tech4LYF for Wearable Health Tech?

01

From device to dashboard, we cover firmware, mobile app, backend, and analytics.

02

Fully encrypted channels, secure APIs, DPDP & HIPAA compliant data handling.

03

Support for Fitbit, Apple Watch, Garmin, custom BLE wearables, and OEM hardware.

04

Use AI to predict issues based on long-term health patterns.

05

White-label architecture for med-tech startups, hospitals, or insurers.

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