Medical Device Integration Services

FDA-compliant medical device connectivity, IoMT architecture, and clinical system integration — from bedside monitors to cloud analytics.

Medical Device Connectivity

FDA-Compliant Device Integration for Connected Healthcare

Saga IT connects medical devices, IoMT platforms, and clinical alarm systems to EHRs with standards-based interoperability. We bridge device protocols to HL7 v2 interfaces and FHIR R4 APIs — from bedside monitors to remote patient monitoring platforms.

FDA Compliant
IoMT Platforms
HL7 + FHIR Standards
What We Offer

Medical Device & IoMT Integration Services

Connect medical devices to EHRs, clinical systems, and analytics platforms with FDA-compliant workflows and standards-based interoperability.

Bedside Device Integration

Connect patient monitors, ventilators, and infusion pumps directly to the EHR for automated vital signs documentation — eliminating manual data entry errors and transcription delays. We implement IEEE 11073 SDC for standardized point-of-care device communication, ensuring reliable, bidirectional data flow between bedside devices and clinical information systems.

IoMT Platform Design

Architect Internet of Medical Things platforms for connected device data collection, routing, and real-time analytics. Our IoMT solutions provide scalable cloud infrastructure for device fleet management, supporting thousands of concurrent device connections with edge computing for low-latency clinical data processing.

Medical Device Cybersecurity

Address FDA premarket and postmarket cybersecurity requirements with comprehensive risk management aligned to IEC 80001. We deliver device network segmentation design, software bill of materials (SBOM) generation, vulnerability assessment, and ongoing threat monitoring — critical safeguards for every connected medical device in your environment.

FHIR Device APIs

Build FHIR R4 Device and Observation resource APIs for standardized device data exchange across clinical systems. Our RESTful APIs handle device telemetry ingestion, alert routing, and observation persistence with proper US Core profile conformance and SMART on FHIR authorization for secure third-party access.

Clinical Alarm Management

Reduce alarm fatigue with intelligent alarm routing, escalation logic, and integration with nurse call and clinical communication platforms. We implement IHE ACM (Alarm Communication Management) profiles and configurable alarm thresholds that route critical alerts to the right clinician at the right time, improving patient safety and staff efficiency.

Remote Patient Monitoring

Enable RPM device connectivity for telehealth, chronic disease management, and post-discharge monitoring with real-time alerting. We connect FDA-cleared wearables and home health devices to your clinical systems, support CMS RPM reimbursement workflows (CPT 99453-99458), and build patient-facing dashboards for continuous condition tracking.

Architecture

Device-to-EHR Integration Pipeline

A modern medical device integration architecture connects bedside devices through a gateway and integration engine to clinical systems and analytics.

Device

Medical devices output data via serial, Bluetooth, Wi-Fi, or IEEE 11073 SDC protocols

Gateway

Edge gateway normalizes device protocols and converts to HL7 or FHIR format

Engine

Integration engine routes, validates, and transforms device observations

EHR

Device data documented as Flowsheet rows, FHIR Observations, or discrete values

Analytics

Device telemetry aggregated for clinical decision support and population health

IEEE 11073
HL7/FHIR
API
Data Lake
Deep Dive

Medical Device Integration Expertise

We integrate all major categories of medical devices with clinical systems, supporting standardized protocols including IEEE 11073, HL7 v2, and FHIR R4. Our engineers have hands-on experience with devices from leading manufacturers across every clinical department.

Patient Monitors

Vital signs and waveform data from Philips IntelliVue, GE CARESCAPE, and Mindray bedside monitors. We capture heart rate, blood pressure, SpO2, temperature, and continuous waveform streams for real-time EHR documentation and clinical surveillance dashboards.

Infusion Pumps

Medication administration data from BD Alaris, Baxter Sigma, and ICU Medical Plum 360 infusion systems. We integrate pump status, infusion rates, drug library compliance events, and dose tracking with pharmacy and eMAR systems for closed-loop medication verification.

Ventilators

Respiratory parameters from Dräger Evita, Hamilton Medical, and Medtronic Puritan Bennett ventilators. We capture tidal volume, respiratory rate, FiO2, PEEP, and compliance data for automated charting in the EHR and early warning score calculations.

Diagnostic Equipment

Laboratory analyzers, point-of-care testing devices, and diagnostic imaging modalities. We connect POC glucose meters, blood gas analyzers, coagulation devices, and portable ultrasound systems to LIS and EHR platforms for immediate result availability at the bedside.

Wearables

Continuous monitoring and remote patient monitoring devices including cardiac rhythm monitors, continuous glucose monitors (CGMs), pulse oximeters, and activity trackers. We handle Bluetooth Low Energy and cellular connectivity for home health data collection and chronic disease management programs.

Surgical Systems

Operating room integration including anesthesia machines, surgical navigation systems, and robotic-assisted platforms. We connect intraoperative devices to anesthesia information management systems (AIMS) and perioperative documentation workflows for complete surgical records.

Whether you're connecting bedside monitors, deploying an IoMT platform, or building FDA-compliant device interfaces — our engineers help you integrate medical devices with clinical systems.

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Standards

Device Data in FHIR

The FHIR R4 Observation and Device resources provide a standardized way to represent medical device data — from a single vital sign reading to continuous waveform streams. Every device observation references the source device, the patient, and the clinical context.

device-observation.fhir.json
{
  "resourceType": "Observation",
  "id": "vitals-hr-001",
  "meta": {
    "profile": [
      "http://hl7.org/fhir/StructureDefinition/vitalsigns"
    ]
  },
  "status": "final",
  "category": [{
    "coding": [{
      "system": "http://terminology.hl7.org/CodeSystem/observation-category",
      "code": "vital-signs",
      "display": "Vital Signs"
    }]
  }],
  "code": {
    "coding": [{
      "system": "http://loinc.org",
      "code": "8867-4",
      "display": "Heart rate"
    }]
  },
  "subject": {
    "reference": "Patient/example-001"
  },
  "effectiveDateTime": "2026-03-01T14:30:00Z",
  "valueQuantity": {
    "value": 72,
    "unit": "beats/minute",
    "system": "http://unitsofmeasure.org",
    "code": "/min"
  },
  "device": {
    "reference": "Device/philips-intellivue-mx800",
    "display": "Philips IntelliVue MX800 Patient Monitor"
  },
  "component": [{
    "code": {
      "coding": [{
        "system": "http://loinc.org",
        "code": "8480-6",
        "display": "Systolic blood pressure"
      }]
    },
    "valueQuantity": {
      "value": 120,
      "unit": "mmHg",
      "system": "http://unitsofmeasure.org",
      "code": "mm[Hg]"
    }
  }, {
    "code": {
      "coding": [{
        "system": "http://loinc.org",
        "code": "8462-4",
        "display": "Diastolic blood pressure"
      }]
    },
    "valueQuantity": {
      "value": 78,
      "unit": "mmHg",
      "system": "http://unitsofmeasure.org",
      "code": "mm[Hg]"
    }
  }]
}

The FHIR Observation resource above captures a heart rate reading and blood pressure components from a Philips IntelliVue patient monitor. The device reference links the observation to a specific FHIR Device resource, enabling traceability from any clinical value back to the physical device that produced it. The component array allows a single observation to carry multiple related measurements — a common pattern for vital signs panels captured simultaneously by bedside monitors. Our device integration pipelines transform raw IEEE 11073 and proprietary device data into conformant FHIR Observations that are immediately available to SMART on FHIR applications, clinical decision support engines, and population health analytics.

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From bedside monitors to IoMT platforms — let's connect your medical devices to clinical systems.