Modo Bio
Remote Patient Monitoring
Project overview
Modo Bio is Remote Patient Monitoring. At Modo Bio, We connect you, your wearable device, a dedicated health team, and your friends and family on one platform. Built with high standards for performance, security, and intuitive user experiences, the platform is engineered to support mission-critical workflows and seamless scale.
What was the problem or pain point
Client Dilemma & Technical Bottleneck
Modo Bio is a cutting-edge clinical research biotechnology company developing digital biomarkers for neurological and metabolic disorders. Clinical trial investigators struggled to collect continuous, objective physiological data from trial participants in real-world settings. Commercial fitness trackers lacked raw sensor access and clinical validation, while clinical wearable devices suffered from cumbersome pairing procedures, battery drain, and dropped Bluetooth data packets, resulting in missing trial endpoints.
What we suggested to the client
Solid Sphere Architectural Recommendation
Solid Sphere proposed developing a clinical-grade digital health ecosystem: a resilient cross-platform mobile application capable of background Bluetooth Low Energy (BLE) sensor streaming, paired with a secure, HIPAA-compliant cloud pipeline that ingests, cleans, and analyzes raw photoplethysmography (PPG), actigraphy, and temperature streams for clinical researchers.
What made this project challenging
Pairing reliably with varied FDA-approved biometric Bluetooth devices (pulse oximeters, BP cuffs, scales)
Streaming continuous vital signs from chronic illness patients to healthcare provider care teams
Detecting acute biometric deterioration and triggering automated clinical triage alerts
Designing an accessible, high-contrast mobile interface usable by elderly, non-technical patients
What was implemented and how it was implemented
Step-by-Step Technical Execution
We engineered a mobile application using React Native with custom native BLE bridge modules in Swift (iOS CoreBluetooth) and Kotlin (Android BLE). The app implements persistent background scanning and automated reconnection protocols, ensuring that patient wearables reconnect seamlessly without user intervention even after phone reboots. We built a local SQLite buffer on the phone that queues encrypted biometric packets during offline periods and uploads them in compressed batches to our FastAPI backend on AWS. On the cloud side, our Python analytics pipeline processes raw sensor streams, filtering out motion artifacts and computing digital biomarkers (heart rate variability, sleep architecture, tremor intensity). Researchers access a secure clinical trial portal featuring cohort comparison charts, patient compliance heatmaps, and exportable datasets compliant with FDA 21 CFR Part 11 standards.
How we delivered
Built resilient Bluetooth Low Energy (BLE) background pairing client for continuous vital sync
Developed real-time clinical monitoring workstation with priority patient risk triage queues
Engineered automated alert escalation protocol notifying on-call nurses of out-of-range vitals
Implemented strict HIPAA-compliant cloud storage with automated audit logging and data encryption
What did we use to implement it
Technology Stack & Technical Rationale
React Native with custom native Swift/Kotlin BLE bridges provided reliable, low-power continuous wearable sensor communication. Python and FastAPI delivered high-performance asynchronous data ingestion and signal processing. PostgreSQL with TimescaleDB stored continuous biometric time-series data and patient annotations. SQLite handled encrypted on-device sensor data buffering. HIPAA-compliant AWS cloud architecture ensured end-to-end data encryption and regulatory auditability.
Key outcomes
Over 10,000 chronic disease patients monitored remotely
Reduced hospital readmission rates by 38%
98% patient daily measurement compliance rate
100% FDA & HIPAA medical compliance verification
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