Medical Imaging / DICOM
DICOM connectivity, PACS integration, and imaging workflows.
Explore Medical Imaging / DICOMFDA-compliant medical device connectivity, IoMT architecture, and clinical system integration — from bedside monitors to cloud analytics.
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.
Connect medical devices to EHRs, clinical systems, and analytics platforms with FDA-compliant workflows and standards-based interoperability.
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.
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.
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.
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.
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.
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.
A modern medical device integration architecture connects bedside devices through a gateway and integration engine to clinical systems and analytics.
Medical devices output data via serial, Bluetooth, Wi-Fi, or IEEE 11073 SDC protocols
Edge gateway normalizes device protocols and converts to HL7 or FHIR format
Integration engine routes, validates, and transforms device observations
Device data documented as Flowsheet rows, FHIR Observations, or discrete values
Device telemetry aggregated for clinical decision support and population health
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.
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.
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.
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.
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.
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.
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.
Medical device cybersecurity is a critical concern for healthcare organizations deploying connected devices. The FDA's 2023 Refuse to Accept policy means new device submissions without cybersecurity documentation are automatically rejected. We help both device manufacturers and healthcare delivery organizations meet these evolving requirements.
Under Section 524B of the FD&C Act, medical device manufacturers must submit a comprehensive cybersecurity plan as part of their premarket submissions (510(k), PMA, De Novo). This includes a threat model documenting all potential attack surfaces, a Software Bill of Materials (SBOM) listing every software component and open-source library in the device, evidence of security testing and penetration testing results, and a plan for addressing vulnerabilities throughout the device's total product lifecycle. Our team builds these artifacts into your development process from the start, so cybersecurity documentation is a natural output of your engineering workflow rather than a last-minute compliance exercise.
IEC 80001-1 provides a risk management framework for IT networks incorporating medical devices. We conduct risk assessments covering data integrity, system availability, and patient safety when connecting devices to hospital networks. This includes evaluating network architecture, identifying single points of failure, and documenting residual risk acceptance criteria. Our assessments align with the updated IEC 80001-1:2021 standard and integrate with your organization's existing ISO 14971 quality management processes.
We design network segmentation architectures that isolate medical devices from general hospital IT traffic using VLANs, firewalls, and micro-segmentation policies. For SBOM management, we implement automated tooling that generates and maintains machine-readable SBOMs in CycloneDX or SPDX format, monitors for newly disclosed CVEs affecting device software components, and provides a coordinated vulnerability disclosure process aligned with FDA postmarket guidance. This continuous monitoring approach ensures your device fleet remains defensible as new threats emerge.
Remote Patient Monitoring (RPM) enables healthcare organizations to track patient health data outside of traditional clinical settings. We build the technical infrastructure connecting RPM devices to clinical workflows — from data ingestion and alerting to EHR documentation and billing integration.
RPM is most effective for chronic conditions requiring continuous monitoring. We deploy device connectivity solutions for congestive heart failure (CHF) patients using weight scales, blood pressure cuffs, and pulse oximeters; COPD patients using spirometers and oxygen saturation monitors; and diabetes patients using continuous glucose monitors and insulin pump data. Each program includes configurable alert thresholds, escalation protocols, and clinician dashboards that surface only actionable data — reducing alert fatigue while ensuring timely intervention for deteriorating patients.
We integrate RPM data streams with telehealth platforms so providers can review real-time device data during virtual visits. This includes synchronizing RPM observations with the patient's EHR record before scheduled telehealth encounters, embedding device trend charts within video visit interfaces, and triggering ad-hoc telehealth sessions when RPM alerts indicate clinical deterioration. Our integrations support major telehealth platforms and connect to EHR telehealth modules in Epic, Oracle Health, and MEDITECH.
RPM programs are reimbursable under Medicare through a well-defined set of CPT codes. We build billing integration workflows that automatically track qualifying activities and generate the documentation needed for successful claims.
| CPT Code | Description | Reimbursement |
|---|---|---|
| 99453 | Initial setup and patient education for RPM devices | ~$19 |
| 99454 | Device supply and daily recording/transmission (30 days) | ~$55 |
| 99457 | Remote physiologic monitoring treatment, first 20 min/month | ~$50 |
| 99458 | Each additional 20 min of RPM treatment management | ~$42 |
Our RPM integration platform tracks device transmission days, clinician interaction time, and patient engagement metrics to ensure your program meets CMS documentation requirements for each billing code. We integrate this tracking with your practice management system for streamlined claims submission.
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.
Get StartedThe 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.
{
"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.
See how medical device integration works in practice — from infusion pumps to alarm management to point-of-care testing.
Connecting smart infusion pumps to Epic for automated medication administration documentation — eliminating manual charting and enabling closed-loop verification from drug library to eMAR.
Medical device integration follows a gateway-based architecture where bedside devices communicate through an edge gateway that normalizes proprietary protocols into standard healthcare formats like HL7 v2 or FHIR R4. The gateway forwards normalized data to an integration engine — such as Mirth Connect or Rhapsody — which routes, validates, and transforms device observations before delivering them to the EHR as Flowsheet rows, FHIR Observations, or discrete clinical values. This architecture supports standards including IEEE 11073 SDC for point-of-care device communication, IHE PCD profiles for device data exchange, and direct serial or TCP/IP connections for legacy devices that predate modern standards.
IEEE 11073 Service-Oriented Device Connectivity (SDC) is a family of standards that defines how medical devices communicate in point-of-care environments. SDC replaces the earlier IEEE 11073 standards with a modern, service-oriented architecture based on web services and DPWS (Devices Profile for Web Services). It enables plug-and-play device discovery, bidirectional communication, and real-time streaming of vital signs data between devices and clinical systems. SDC is the foundation for the OR.NET initiative in Germany and is increasingly adopted by device manufacturers globally as the standard for interoperable device connectivity in operating rooms and ICUs.
IHE Patient Care Device (PCD) is a domain within the Integrating the Healthcare Enterprise framework that defines integration profiles specifically for medical device data exchange. The key profiles include DEC (Device Enterprise Communication) for sending device observations to clinical systems, ACM (Alarm Communication Management) for routing clinical alarms to communication platforms, and PIV (Point-of-Care Infusion Verification) for barcode-based medication verification at infusion pumps. These profiles build on HL7 v2 message types — primarily ORU^R01 for observations and ORA for alarm notifications — and provide a standardized, tested integration pattern that works across device vendors and EHR platforms.
IoMT (Internet of Medical Things) devices connect to hospital networks through a layered architecture that balances clinical data availability with network security. At the edge layer, devices communicate via Wi-Fi, Bluetooth Low Energy, Zigbee, or cellular connections to local gateways or access points. These gateways perform protocol translation and initial data filtering before forwarding observations to a central IoMT platform. The platform layer handles device registration, data normalization, identity management, and routing to downstream clinical systems. Network segmentation using VLANs and firewall policies isolates device traffic from general IT systems, and edge computing nodes provide low-latency processing for time-critical clinical alerts without depending on cloud round-trips.
The FDA requires medical device manufacturers to address cybersecurity throughout the total product lifecycle. For premarket submissions (510(k), PMA, De Novo), manufacturers must provide a threat model identifying attack surfaces, a Software Bill of Materials (SBOM) listing all software components and third-party libraries, evidence of security testing including static analysis and penetration testing, and a plan for coordinated vulnerability disclosure. Under the 2023 Refuse to Accept policy, submissions lacking cybersecurity documentation are rejected without review. Postmarket, manufacturers must monitor for vulnerabilities in deployed devices, issue timely patches, and participate in Information Sharing and Analysis Organizations (ISAOs). Healthcare delivery organizations are responsible for applying patches, maintaining network segmentation, and conducting IEC 80001 risk assessments when connecting devices to clinical networks.
Remote patient monitoring (RPM) uses connected medical devices and wearables to collect patient health data — vital signs, blood glucose, weight, blood pressure, pulse oximetry, and activity levels — outside of traditional clinical settings and transmit it to healthcare providers for review and clinical action. RPM integration with EHR systems follows a multi-tier architecture: patient devices transmit data via Bluetooth or cellular to a mobile app or home hub, which forwards observations to a cloud-based RPM platform. The platform normalizes, validates, and stores device data, then pushes clinical observations into the EHR as FHIR Observations or HL7 v2 ORU messages, appearing in the provider's workflow as discrete flowsheet values. RPM is reimbursable under CMS CPT codes 99453–99458, covering device setup, data transmission, and provider review time. The RPM market is growing rapidly as health systems adopt remote monitoring for chronic disease management (heart failure, COPD, diabetes, hypertension), post-surgical recovery, and hospital-at-home programs. Saga IT builds RPM integration pipelines that connect device platforms to EHR systems with clinical alerting, trending dashboards, and automated escalation workflows.
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From bedside monitors to IoMT platforms — let's connect your medical devices to clinical systems.