The Engineering Challenge
Rural and remote medical facilities face critical 4-5 day delays sending diagnostic imagery to centralized hospitals, delaying early clinical interventions for acute conditions. Existing diagnostic equipment required stable high-speed broadband, which is unavailable in field hospitals and remote care settings.
The medical team required an offline-first mobile diagnostic tool capable of analyzing retinal scans, ultrasound frames, and dermatological images locally on tablet hardware with greater than 99% clinical accuracy, while guaranteeing complete HIPAA and patient privacy compliance.
Our Architectural Solution
Tech Singularity built an offline-first mobile diagnostic platform with embedded TensorFlow Lite deep learning models running on device edge processors. The system delivers verified diagnostic classifications in under 30 seconds with zero internet connectivity.
When network connectivity becomes available, the application securely synchronizes encrypted patient records with central hospital EHR systems using HL7/FHIR protocols. The platform includes remote telehealth video consulting, automated clinical reporting, and AES-256 encrypted local caching.
Key Systems & Features
Measurable Business Outcomes
Down from 5 days
Verified by clinical trials
Deployed across 4 countries
"Our diagnostic turnaround dropped from 5 business days to under 30 seconds for remote clinics."
