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    Connected medical devices streaming telemetry to a secure cloud platform
    IoMT / Connected Devices

    IoMT and connected device platforms engineered for scale and security

    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.

    HIPAA-ReadyMQTT / TLSFHIR R4Device Identity

    Trusted by global innovators

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    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve

    What building an IoMT platform involves

    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

    The pipeline behind every connected medical device

    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.

    IoMT reference architecture

    From device to edge gateway to an MQTT broker and a FHIR data layer — see how telemetry, identity, and security fit together.

    IoMT pipeline from device through MQTT broker to FHIR data layer

    What we build into an IoMT platform

    A device data pipeline that is reliable at volume and defensible under a security review.

    15-Minute Scoping Call

    MQTT telemetry pipeline

    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.

    Device identity & security

    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.

    Edge processing

    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.

    Device management & OTA

    Provisioning, fleet monitoring, and over-the-air firmware update workflows with staged rollout and rollback for the connected medical device fleet.

    FHIR normalization & alerts

    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

    IoMT use cases

    Hospital device connectivity

    Bedside monitors and pumps streaming to a central platform.

    Home patient monitoring

    Cellular and BLE home devices feeding RPM programs.

    Smart clinical equipment

    Connected diagnostics with utilization and status telemetry.

    Cold-chain & asset tracking

    Sensor telemetry for temperature-sensitive and mobile assets.

    Medical device manufacturers

    Cloud backends for a new connected-device product line.

    Ambient clinical sensing

    Room and wearable sensors for safety and monitoring.

    Where IoMT programs succeed or stall

    IoMT rarely fails at the demo. It fails at scale and at the security review — the two things we engineer for first.

    MQTT/TLS
    Secure, scalable telemetry transport
    Per-device
    X.509 identity and mutual TLS
    FHIR R4
    Normalized clinical output

    Compliance-First Healthcare App Development Services Backed by Global Standards

    15-Minute Scoping Call
    01HIPAA logo

    HIPAA

    Health Insurance Portability and Accountability Act

    Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.

    02GDPR logo

    GDPR

    General Data Protection Regulation

    Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.

    03FHIR logo

    FHIR

    Fast Healthcare Interoperability Resources

    Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.

    04HL7 logo

    HL7

    Health Level Seven International

    Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.

    05HITRUST logo

    HITRUST

    Health Information Trust Alliance

    Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.

    06HITECH logo

    HITECH

    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.

    07SaMD logo

    SaMD

    FDA Software as a Medical Device

    Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.

    08MDR (EU) logo

    MDR (EU)

    Medical Device Regulation (European Union)

    Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.

    09SAMHSA logo

    SAMHSA

    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

    IoMT standards

    MQTTFHIRIEEE 11073HIPAAIEC 62443
    Our Process

    How we ship an IoMT platform

    We design the security and data pipeline together, because in IoMT they are the same problem.

    1.

    Device & pipeline discovery

    We map device types, protocols, and telemetry volume, then design the MQTT topic model, edge strategy, and FHIR data model.

    Pipeline design
    2.

    Security & identity

    Device provisioning, certificate management, mutual TLS, and network segmentation established before scale.

    Secure by design
    3.

    Ingestion & edge

    MQTT broker, edge gateway logic, and store-and-forward buffering validated against real device behavior and connectivity loss.

    Reliable at volume
    4.

    Cloud, alerts & scale

    FHIR normalization, alerting, dashboards, and OTA update workflows, with load testing before the fleet grows.

    Fleet-ready

    Featured case study

    Read Case Study

    Lera Health: compliant women's health platform

    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.

    Lera Health app across desktop and mobile
    Why Partner With Us

    Why teams build IoMT with Agnotic

    We engineer for the two things that break IoMT programs: security posture and pipeline reliability.

    15-Minute Scoping Call

    Security-first architecture

    Device identity, mutual TLS, and segmentation designed in from the start — the posture hospital security reviews demand.

    Reliable at fleet scale

    QoS, edge buffering, and load-tested ingestion so the pipeline holds up as the device count grows.

    Device-to-cloud depth

    One team across firmware interfaces, edge gateways, and cloud so the layers actually fit together.

    FHIR-native output

    Telemetry normalized to standards so device data is usable by clinicians, analytics, and the EHR.

    Build an IoMT platform that scales securely

    Device-to-cloud pipelines engineered for clinical reliability

    Frequently Asked Questions

    A pilot-scale IoMT pipeline — secure ingestion, edge logic, and a FHIR data layer for a single device type — typically starts in the low six figures. Fleet management, OTA, and multi-device support extend the range. Cost scales with device diversity and security requirements more than with volume.

    Ready to build a secure IoMT platform?

    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.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com