Healthcare IoT Development

Your FAQs on Healthcare IoT Development

Q1: What counts as healthcare IoT?

A1: Healthcare IoT is the network of connected devices, gateways, platforms and software that collect and exchange patient or operational data across care settings. What makes any part of it a medical device is its intended use and not the form factor, so a monitor that informs a clinical decision is regulated while a wellness tracker usually is not. We help you place the regulated parts of the system on that line early, because the classification drives the whole plan.

Q2: Can you build the full IoT system, or only part of it?

A2: We can build the full system or slot into whichever layer you need: connected devices, connectivity, the cloud platform, or the integration and analytics on top. When we build the whole stack, the hard cross-boundary problems of connectivity, fleet management, security and data flow are owned by one team. When we join an existing effort, we fill the specific gap, often connectivity, cloud or EHR integration, that is holding the system back.

Q3: Which connectivity options do you use and how do you choose?

A3: The right connectivity depends on range, power budget, data volume and where the data has to go, so we choose it per device. BLE suits body-worn devices talking to a phone, Wi-Fi suits stationary devices moving more data and cellular such as LTE-M or NB-IoT suits devices with no local network, with MQTT over TLS between device, gateway and cloud. Where the system talks to clinical systems we add interoperability through HL7 and FHIR.

Q4: How do you handle EU MDR and IEC 62304 for a healthcare IoT system?

A4: Any part of a healthcare IoT system with a medical purpose falls under EU MDR. Connected, software-driven systems usually land in a higher risk class such as Class IIa or IIb. Our regulatory team aligns the architecture, the IEC 62304 software lifecycle and ISO 14971 risk management inside an ISO 13485 quality system, with usability engineering to IEC 62366 where there is hardware. Classification, risk controls and traceability grow with the system, so you reach conformity assessment without a scramble.

Q5: How do you secure a healthcare IoT system?

A5: Security across a healthcare IoT system is an architecture problem, so we build it into every layer: secure boot and signed firmware on the device, encrypted transport such as TLS on the wire and access control, audit logging and device-identity management on the platform. We run threat modelling early, maintain a software bill of materials and pen-test against the OWASP IoT Top 10. This maps onto the FDA premarket cybersecurity requirements where your market needs it.

Q6: Can devices run offline or process data on-device?

A6: Yes. When latency, privacy, cost or patchy connectivity rule out the cloud, we run processing on the devices themselves, fitting models into constrained hardware through quantisation and pruning. A healthcare IoT system also has to behave when a link drops, so we design local buffering and store-and-forward, letting devices keep working and sync once they reconnect. Where it helps we split the workload, fast logic on-device and heavier analytics in the cloud.

Q7: How do you handle over-the-air updates and support after launch?

A7: Over-the-air update is part of the design, because a fleet you cannot update safely becomes a liability the moment a vulnerability appears. We build a signed, tested update mechanism with staged rollout and rollback, plus monitoring of device health, connectivity and errors across the fleet. After launch we can run maintenance, security patching, obsolescence management and support, or hand the system over to your team with the documentation and training to run it.