Hospital device connectivity
Bedside monitors and pumps streaming to a central platform.
We build the pipelines that move data from connected medical devices to the cloud — MQTT ingestion, edge processing, device identity, and FHIR-native modeling — with security designed in, not patched after a recall.
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The Internet of Medical Things spans everything from infusion pumps and patient monitors to home vitals devices. The engineering challenge is a device data pipeline that ingests high-volume telemetry reliably, keeps every device authenticated, and stays secure across an attack surface that regulators and hospital security teams scrutinize closely.
We build that pipeline around a lightweight publish/subscribe transport (MQTT over TLS), per-device identity and certificate management, edge processing for filtering and buffering, and a cloud layer that normalizes readings to FHIR R4. Security — device provisioning, rotation, and network segmentation — is part of the architecture rather than a bolt-on.
What it is
IoMT platforms move data from connected medical devices — monitors, pumps, home vitals hardware — into systems clinicians and analytics can use. The value is real-time visibility across a fleet; the difficulty is doing it securely and reliably at scale.
We build the full path: device connectivity, an MQTT ingestion layer, edge processing for reliability, per-device security, and FHIR normalization in the cloud. Security and data quality are treated as architecture, not features.
From device to edge gateway to an MQTT broker and a FHIR data layer — see how telemetry, identity, and security fit together.

A device data pipeline that is reliable at volume and defensible under a security review.
High-throughput ingestion over MQTT with TLS, QoS levels tuned for clinical reliability, and topic design that scales from a pilot fleet to tens of thousands of devices.
Per-device X.509 certificates, mutual TLS, credential rotation, and network segmentation so a compromised device can't become a foothold into PHI — the core of IoMT security.
Filtering, aggregation, and store-and-forward buffering at the edge gateway so intermittent connectivity never loses a reading and the cloud isn't flooded with raw samples.
Provisioning, fleet monitoring, and over-the-air firmware update workflows with staged rollout and rollback for the connected medical device fleet.
Telemetry normalized to FHIR R4 Observation with threshold and anomaly detection that routes clinically significant events to the right queue in near real time.
Where it runs
Bedside monitors and pumps streaming to a central platform.
Cellular and BLE home devices feeding RPM programs.
Connected diagnostics with utilization and status telemetry.
Sensor telemetry for temperature-sensitive and mobile assets.
Cloud backends for a new connected-device product line.
Room and wearable sensors for safety and monitoring.
IoMT rarely fails at the demo. It fails at scale and at the security review — the two things we engineer for first.
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
We design the security and data pipeline together, because in IoMT they are the same problem.
We map device types, protocols, and telemetry volume, then design the MQTT topic model, edge strategy, and FHIR data model.
Device provisioning, certificate management, mutual TLS, and network segmentation established before scale.
MQTT broker, edge gateway logic, and store-and-forward buffering validated against real device behavior and connectivity loss.
FHIR normalization, alerting, dashboards, and OTA update workflows, with load testing before the fleet grows.
Related proof of compliant delivery: for Lera Health we built the secure, privacy-first data layer connecting device and lab data into actionable care — the same security and data-modeling rigor an IoMT fleet requires.

We engineer for the two things that break IoMT programs: security posture and pipeline reliability.
Device identity, mutual TLS, and segmentation designed in from the start — the posture hospital security reviews demand.
QoS, edge buffering, and load-tested ingestion so the pipeline holds up as the device count grows.
One team across firmware interfaces, edge gateways, and cloud so the layers actually fit together.
Telemetry normalized to standards so device data is usable by clinicians, analytics, and the EHR.
Device-to-cloud pipelines engineered for clinical reliability
Tell us your device types and scale targets. We'll return an architecture with an MQTT pipeline, a device-security model, and a FHIR data layer.
contact@agnotic.com
Partnerships
contact@agnotic.com