IoMT software that works in clinical conditions — not just controlled demos.
Building a connected medical device or wearable product means solving device reliability, data security, and clinical integration problems before the first patient is monitored. SanoWorks engineers these foundations deliberately — not as afterthoughts discovered when a hospital asks to see your device security architecture.
IoMT builds fail not because the hardware is wrong — but because the software layer was never designed for clinical conditions.
The founders who reach SanoWorks after a failed IoMT build usually describe the same pattern: the device worked in the lab, the pilot started, and then the data pipeline broke under real-world conditions. Not because the hardware was faulty. Because the BLE integration was not designed for interference, the device data was not encrypted at rest, and the clinical workflow had no way to surface missed readings to the care team.
IoMT software is not complicated because device integration is technically exotic. It is complicated because the software must handle intermittent connectivity, firmware variation across device batches, PHI security requirements that differ from standard web architecture, and clinical workflow integration that most hardware teams have never had to think about. These are architecture decisions that most IoMT builds discover mid-pilot — when changing them is expensive.
The proof is e-pokratis. SanoWorks delivered BLE and contactless rPPG vital sign integration with AES-256 encryption, a 95 percent hospital integration success rate, and 99.9 percent platform uptime. That outcome does not come from a working demo. It comes from designing the device data pipeline, security architecture, and clinical integration layer correctly from the start.
You are in the right place if:
- You are building software for a medical device, wearable, or connected health hardware product
- Device data security — encryption, PHI handling, audit logging — must meet clinical standards
- BLE, rPPG, or other sensor integration is in scope for your product
- You are selling to hospitals or health systems that will audit your device security architecture
- EHR integration is required so device data flows into the patient record automatically
- You need a device software platform that survives a clinical deployment, not just a controlled pilot
The product categories inside IoMT and connected device software
IoMT is not one product type. It is a cluster of hardware-software integration challenges, each with its own connectivity requirements, security surface, and clinical workflow implications. SanoWorks has delivery experience across all of them.
BLE Device Integration
Bluetooth Low Energy device pairing, data collection, and reliability engineering for clinical conditions — interference handling, reconnection logic, and missed reading detection built for production, not proof-of-concept.
rPPG & Contactless Vital Signs
Remote photoplethysmography sensor integration for contactless vital sign measurement — heart rate, SpO2, and respiratory rate captured without physical contact, with signal processing built for clinical accuracy.
Secure Device Data Pipelines
AES-256 encrypted data pipelines from device to cloud — PHI-safe transmission, encrypted storage, audit-logged access, and backend architecture that satisfies hospital security reviews.
Device Data Dashboards & Alerting
Clinical dashboards that surface device readings, threshold alerts, and longitudinal trends to care teams — with alert logic designed to be actionable rather than noisy.
Hospital & EHR Integration
FHIR R4 and HL7 integration that writes device-generated data into the patient EHR record automatically — the integration layer that turns a standalone device into a health system-deployable product.
Companion Mobile & Web Apps
Patient-facing and clinician-facing apps that pair with connected devices, display readings, manage device configuration, and connect to the broader care workflow — built for clinical reliability, not consumer UX patterns.
The four architecture decisions that determine whether an IoMT product holds up in clinical deployment
Most IoMT software looks reasonable in a controlled pilot and begins to fail when deployed across real clinical environments. SanoWorks designs for production reliability from the beginning — because retrofitting device integration architecture after a failed hospital deployment is significantly more expensive than building for it upfront.
Device integration scoped for clinical conditions, not demo conditions
BLE integrations that work in a quiet lab fail in a hospital ward with dozens of competing Bluetooth signals. rPPG readings that are accurate in controlled lighting degrade under fluorescent clinical lighting. SanoWorks scopes device integration for the actual deployment environment — interference, firmware variation, missed readings, and edge cases — before writing integration code.
Security architecture designed for medical device PHI, not generic web security
Device data pipelines have different PHI exposure points than web applications — firmware storage, Bluetooth transmission, local device caching, and cloud ingestion each require specific security controls. SanoWorks designs AES-256 encryption and PHI boundary architecture for the full device data lifecycle, not just the API layer.
EHR integration scoped at the start, not the end
IoMT products that cannot write device data into the EHR are invisible to the care team. Products that require manual data re-entry do not get renewed. SanoWorks designs FHIR integration architecture upfront so device data flows into the patient record automatically — and so the first enterprise deal is not blocked by an integration that was never scoped.
Clinical workflow alignment before interface design
Clinicians interact with IoMT data differently than founders assume. Alert thresholds that make sense to an engineer create alert fatigue for a nurse. SanoWorks reviews clinical workflow requirements before any interface or alerting logic is designed — so the product reflects how care teams actually use device data, not how a product team imagined they might.
e-pokratis: BLE, rPPG, AES-256, and a 95% hospital integration success rate
The clearest proof of SanoWorks's IoMT capability is e-pokratis — a connected health platform with BLE and contactless rPPG vital sign integration, delivered and maintained in production. The device integration outcomes are documented and verifiable.
95% hospital integration success. AES-256 encrypted. 99.9% uptime.
SanoWorks engineered the e-pokratis IoMT platform from device integration to clinical deployment: BLE device pairing and data collection built for clinical reliability, contactless rPPG vital sign measurement with production-grade signal processing, AES-256 encryption across the full device data pipeline, and a clinical workflow layer that achieved a 95 percent hospital integration success rate. The platform did not hold up in production because the demo worked. It held up because the device integration, security architecture, and clinical workflow design were built for real deployment conditions from day one.
Read the full e-pokratis case studyBuilding an IoMT or connected device product and want to pressure-test the software architecture?
A free architecture audit can identify device integration risks, security gaps, and clinical workflow mismatches before they become expensive mid-deployment discoveries. Most IoMT audits are completed within one week.
Get a free architecture auditCommon questions about IoMT and connected devices
Where to go from here
Whether you are ready to build, want to see more proof, or need to understand the delivery framework behind the e-pokratis deployment, these are the most useful next pages.
e-pokratis
The full story behind the BLE and rPPG integration — device architecture decisions, security approach, and the clinical workflow design that delivered a 95% hospital integration success rate.
Telehealth & RPM
Remote patient monitoring platform engineering — the clinical layer that most IoMT products need to connect with for care team workflows, alerting logic, and longitudinal patient data.
Build Your HealthTech MVP
For funded founders starting from zero who need a compliant IoMT software platform built in six to nine weeks using the HealthSprint Framework.