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Clinical Engineering

Empower hospital IT and clinical engineering teams with a zero-footprint wearable network. Kineos bypasses heavy data bottlenecks, utilizing mobile edge-computing to deliver secure, highly-optimized kinematic telemetry directly into existing EHR systems without overloading facility infrastructure.

The Challenge

Outpatient healthcare facilities struggle to adopt connected medical IoT networks because continuous raw sensor telemetry exhausts server capacity and demands excessive bandwidth, forcing a difficult trade-off between technical stability and data frequency.

Solutions Engineered

100%
Cloud-Native

Serverless Cloud Architecture

Leverages the patient's mobile phone to calculate fall risk instantly at the edge, securely transmitting data to Firebase where Gemini AI automatically generates clinical reports without requiring any physical IT infrastructure from the clinic.

99%
Bandwidth Reduction

Optimized Firebase Cloud Pipeline

Transmits only highly compressed, lightweight text blocks instead of heavy, continuous raw coordinate data, minimizing background server workloads.

< 200ms
Latency

Zero-Footprint Integration Framework

Designed to interface cleanly with existing EHR setups as a high-speed, lightweight data layer without requiring costly facility infrastructure upgrades.

What Changes

Optimized Telemetry & Low-Latency Deployment Model

Decreases background server workloads and networking overhead. This enables a zero-footprint deployment model that seamlessly integrates with legacy EHR setups without requiring infrastructure upgrades.

Inquiries

Have questions regarding clinical deployments?

Whether you need deep-dive technical specs on our edge computation models, custom Bluetooth sensor sampling rates, HIPAA encryption keys, or EHR integration architectures—our engineering team is ready to assist.

mail k.kwanengineering@gmail.com
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