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Top 10 Best Medical Device Connectivity Software of 2026

GITNUXSOFTWARE REVIEW

Digital Products And Software

Top 10 Best Medical Device Connectivity Software of 2026

Compare medical device connectivity software options, including Matrix Connect, for hospitals assessing device data integration and clinical workflows.

26 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

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Medical device connectivity software moves data from monitors and other clinical equipment into EHRs and hospital systems for use in care workflows. For healthcare IT teams, this comparison clarifies tradeoffs among device coverage, data mapping, integration options, and deployment requirements so they can assess fit with existing infrastructure.

Matrix Connect is the best fit for medical-device companies and digital health teams because its native SDK, standards-based API, and regulated-product controls make cloud integration more practical, whereas Philips Capsule suits hospital IT teams connecting mixed bedside fleets since it normalizes and routes data from multiple manufacturers into clinical systems.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Matrix Connect

A medical-device-focused cloud platform combines a native SDK and standards-based web API with configurable data models, workflows, dashboards, role-based access, and remote-monitoring alerts, alongside quality-system and security controls designed for regulated products.

Best for: Medical device companies and digital health teams connecting hardware or software products to cloud services for device data collection, remote monitoring, analytics, and integration with EHRs or existing workflows.

2

Philips Capsule

Editor pick

Medical Device Information Platform for collecting and routing normalized bedside device data.

Best for: Fits when hospital IT teams need to connect mixed bedside equipment fleets with EHRs and clinical systems.

3

GE HealthCare CARESCAPE Gateway

Editor pick

Near-real-time delivery of CARESCAPE patient measurements and waveform data to downstream systems.

Best for: Fits when hospitals need to route CARESCAPE bedside measurements into EMRs and clinical applications.

Comparison Table

1
Matrix ConnectBest overall
Compliant cloud connectivity platform for medical devices
9.2/10
Overall
2
enterprise
8.9/10
Overall
3
8.6/10
Overall
4
8.5/10
Overall
5
8.3/10
Overall
6
vertical specialist
7.8/10
Overall
7
7.6/10
Overall
8
7.3/10
Overall
9
6.9/10
Overall
10
vertical specialist
6.6/10
Overall
#1

Matrix Connect

Compliant cloud connectivity platform for medical devices

Matrix Connect provides compliant cloud connectivity for medical devices, with tools to collect and model device data, support remote monitoring, and connect with EHRs and other systems.

9.2/10
Overall
Features9.5/10
Ease of Use9.0/10
Value9.0/10
Standout feature

A medical-device-focused cloud platform combines a native SDK and standards-based web API with configurable data models, workflows, dashboards, role-based access, and remote-monitoring alerts, alongside quality-system and security controls designed for regulated products.

Matrix Connect brings device connectivity, data modeling, user access, monitoring, and analytics into a cloud platform designed for medical device innovators. The native SDK and modular web API support hardware and software-driven workflows, while configurable dashboards and branding help teams shape a connected product experience.

A practical tradeoff is that teams still need to integrate their device through the SDK or API and configure its data model and workflows. For example, a remote-monitoring team can use it to receive device readings, set alerts for abnormal values, and give clinicians access through a mobile-friendly portal.

Pros
  • +Native SDK and standards-based web API get devices cloud-connected in weeks, not months.
  • +Encrypted data transfer and storage with role-based access controls.
  • +Configurable dashboards, data models, and workflows support product-specific experiences.
Cons
  • –Teams needing design-control and risk-management workflows should use a dedicated design-control platform.
  • –Organizations focused on publishing and versioning electronic instructions for use need an eIFU platform.
Use scenarios
  • Remote monitoring teams

    Monitor connected patient devices

    Timely clinical visibility

  • Wearable device developers

    Connect wearables to cloud services

    Cloud-connected wearables

Show 2 more scenarios
  • Medical device engineers

    Integrate device data with EHRs

    Interoperable device data

    Matrix Connect links device workflows with EHRs and other third-party systems through its API and SDK.

  • AI health software teams

    Deploy connected medical software

    Connected software workflows

    Matrix Connect supports configurable workflows, analytics, and access controls for software-driven medical products.

Best for: Medical device companies and digital health teams connecting hardware or software products to cloud services for device data collection, remote monitoring, analytics, and integration with EHRs or existing workflows.

#2

Philips Capsule

enterprise

Medical device integration software collects clinical device data and delivers it to hospital systems.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Medical Device Information Platform for collecting and routing normalized bedside device data.

Philips Capsule connects medical devices from multiple manufacturers to EHRs and clinical applications through device-specific drivers and standardized data interfaces. The platform supports bedside data collection and delivery across acute-care settings, reducing the need to build separate integrations for each connected system.

Device coverage depends on the exact equipment model and available interface, so IT teams must validate compatibility during deployment planning. The platform fits hospitals integrating monitors, ventilators, and infusion pumps across intensive care units with established EHR interfaces.

Pros
  • +Connects monitors, ventilators, and infusion pumps to EHR and clinical systems.
  • +Supports equipment from multiple medical device manufacturers.
  • +Normalizes bedside device data for downstream clinical workflows.
Cons
  • –Device compatibility requires validation against exact models and interfaces.
  • –Deployment planning involves coordination across clinical engineering, IT, and device vendors.
  • –Integration scope depends on available system interfaces and local configuration.
Use scenarios
  • Hospital integration teams

    Bedside equipment to EHR

    Consolidated device data

  • Critical care informatics teams

    ICU device data collection

    Centralized clinical measurements

Show 1 more scenario
  • Multi-site health systems

    Mixed-fleet device integration

    Broader device coverage

    Device-specific drivers support connections across equipment from multiple manufacturers.

Best for: Fits when hospital IT teams need to connect mixed bedside equipment fleets with EHRs and clinical systems.

#3

GE HealthCare CARESCAPE Gateway

vertical specialist

A clinical gateway that transfers patient monitoring data from GE devices to hospital systems.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Near-real-time delivery of CARESCAPE patient measurements and waveform data to downstream systems.

GE HealthCare CARESCAPE Gateway gives hospital IT teams a route for sending patient-monitoring data from compatible bedside devices to EMRs and other clinical applications. Its support for HL7 and API-based access can serve documentation workflows as well as applications that use monitoring data outside the EMR.

Each deployment requires device compatibility checks, interface mapping, and clinical workflow validation, so implementation involves both IT and clinical engineering teams. It fits hospitals connecting CARESCAPE monitors to an EMR or a clinical application that needs continuous bedside measurements.

Pros
  • +Connects CARESCAPE bedside monitoring data with EMRs and clinical applications.
  • +Supports HL7 messaging and API-based access for downstream integrations.
  • +Provides near-real-time patient measurements and waveform data.
Cons
  • –Device compatibility and interface mappings require deployment-specific validation.
  • –Implementation requires coordination between IT and clinical engineering teams.
  • –Value is strongest in facilities using compatible CARESCAPE monitoring devices.
Use scenarios
  • Hospital interface teams

    Bedside data to EMR

    Fewer manual vital entries

  • ICU informatics teams

    Monitoring data for applications

    Timelier bedside data access

Show 1 more scenario
  • Clinical engineering teams

    CAREScAPE device integration

    Connected monitoring workflows

    The gateway connects compatible CARESCAPE monitoring devices with hospital information systems.

Best for: Fits when hospitals need to route CARESCAPE bedside measurements into EMRs and clinical applications.

#4

InterSystems IRIS for Health

API-first

A healthcare data platform supports integration between clinical devices, applications, and records.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Interoperability productions combine message routing, transformation, and orchestration for HL7 v2, FHIR, CDA, and DICOM exchange.

In medical device connectivity, InterSystems IRIS for Health combines healthcare interoperability workflows with a multi-model data platform rather than relying on a device-driver catalog. Its interoperability productions route and transform HL7 v2, FHIR, CDA, and DICOM messages, while REST APIs and SQL support downstream applications and analytics. A native FHIR server and role-based administration help teams manage exchange across clinical systems, but device-specific protocols can require custom adapters or partner components.

Pros
  • +Supports healthcare exchange across HL7 v2, FHIR, CDA, and DICOM.
  • +Interoperability productions provide configurable routing, transformation, and orchestration.
  • +Combines a FHIR server, REST APIs, SQL access, and role-based administration.
Cons
  • –Device-specific protocols may require custom adapters or partner components.
  • –Production configuration and administration demand specialized interoperability expertise.
  • –Broad platform capabilities can add operational complexity for focused device integrations.

Best for: Fits when healthcare IT teams need governed integration across device feeds, clinical systems, and FHIR applications.

#5

Mindray BeneView Connectivity

enterprise

Patient monitoring connectivity platform integrating Mindray devices with hospital clinical information systems.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Integration of BeneView bedside monitor observations with central monitoring and hospital information systems.

Mindray BeneView Connectivity links BeneView bedside monitors with central monitoring and hospital information systems, keeping patient-monitor data available beyond the bedside. Configured interfaces can transmit vital-sign observations and alarm information into clinical workflows. Its scope centers on Mindray monitor integration rather than a general-purpose connectivity layer, so third-party device coverage and interface flexibility depend on the hospital’s deployment.

Pros
  • +Carries BeneView monitoring data into hospital information systems.
  • +Connects bedside monitoring with centralized clinical oversight.
  • +Keeps monitor integration within Mindray’s device ecosystem.
Cons
  • –Integration scope centers on Mindray-compatible monitoring equipment.
  • –Interface configuration requires coordination with hospital IT and clinical systems teams.
  • –It offers less apparent flexibility than middleware built for mixed-vendor device fleets.

Best for: Fits when hospitals need BeneView monitor data connected to central monitoring and clinical information systems.

#6

Connexall

vertical specialist

Healthcare integration software connects clinical devices, systems, alerts, and workflows.

7.8/10
Overall
Features7.8/10
Ease of Use7.8/10
Value7.8/10
Standout feature

Event-driven workflow engine for prioritizing, routing, and escalating device alarms across connected clinical systems.

Connexall suits hospitals that need to route device alarms and clinical events across patient monitoring, nurse call, and staff communication systems. Its integration layer collects events from connected systems, while configurable workflows prioritize, route, and escalate alerts to designated caregivers. This approach supports multi-vendor environments, but implementation and ongoing workflow governance require coordination between clinical and IT teams.

Pros
  • +Connects alarms and events across patient monitoring, nurse call, and clinical communication systems
  • +Configurable routing and escalation workflows can match alerts to care-team responsibilities
  • +Supports integration across heterogeneous, multi-vendor hospital environments
Cons
  • –Workflow configuration and interface mapping require clinical and IT coordination
  • –Large integration projects can make implementation planning and governance demanding
  • –Technical teams may need vendor input to clarify interface options and integration behavior

Best for: Fits when hospitals need to coordinate alarms and clinical events across multiple device and communication systems.

#7

Dräger Infinity Gateway Suite

vertical specialist

Software connects Dräger patient monitoring data with hospital information systems.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

The WinAccess API exposes real-time patient-monitoring data from Infinity networks to third-party applications.

Unlike vendor-neutral connectivity layers, Dräger Infinity Gateway Suite focuses on routing data from Dräger Infinity monitoring networks into hospital IT systems. It exposes real-time vital signs, alarm status, and waveforms to downstream applications, with HL7 and the WinAccess API providing integration paths.

Pros
  • +Provides real-time Infinity vital signs, alarm status, and waveform data.
  • +HL7 interfaces and the WinAccess API support EMR and application integration.
  • +Routes monitor data to clinical applications without replacing bedside monitors.
Cons
  • –Integration scope centers on Dräger Infinity devices rather than heterogeneous fleets.
  • –Third-party workflows require interface configuration and hospital IT coordination.
  • –Deployment depends on Gateway server configuration and Infinity network connectivity.

Best for: Fits when hospitals need real-time Infinity monitor data delivered to EMRs or clinical applications.

#8

Infor Clinical Bridge

enterprise

Healthcare integration platform connecting medical devices and clinical systems to Infor and third-party healthcare applications.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Automatic transfer of bedside device observations into electronic clinical documentation.

Hospital device connectivity software moves bedside readings into clinical records and reduces repeat data entry. Infor Clinical Bridge connects medical devices with clinical systems and transfers captured vital-sign observations into electronic documentation.

Pros
  • +Transfers bedside vital-sign observations into electronic clinical documentation.
  • +Connects medical devices with hospital clinical systems.
  • +Supports point-of-care workflows where manual transcription creates extra work.
Cons
  • –Public product materials give limited detail on API access and administration controls.
  • –Device compatibility and interface scope require deployment-specific validation.
  • –Product information says little about configuration governance and ongoing monitoring.

Best for: Fits when hospitals need bedside vital-sign capture integrated with existing clinical systems and care workflows.

#9

Oracle Health CareAware iBus

enterprise

A healthcare integration platform connects medical device data with clinical applications.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Device-to-clinical-system routing for observations from monitors, ventilators, and infusion pumps.

Bedside device data routing into clinical systems is the core function of Oracle Health CareAware iBus, an integration layer for hospital environments. It connects devices such as patient monitors, ventilators, and infusion pumps with EHRs and other clinical applications, sending device observations into patient records. Its value centers on coordinating device interfaces and data flow across clinical systems, rather than on standalone device management.

Pros
  • +Connects bedside monitors, ventilators, and infusion pumps with clinical applications.
  • +Routes device observations into EHR workflows and patient records.
  • +Supports integration across multiple device types and hospital systems.
Cons
  • –Deployment requires coordination among hospital IT, clinical engineering, and device vendors.
  • –Interface coverage depends on supported device models and configuration.
  • –Designed for enterprise integration projects rather than plug-and-play installation.

Best for: Fits when hospitals need bedside device data routed into Oracle Health and other clinical systems.

#10

Masimo Iris Gateway

vertical specialist

A connectivity platform that sends data from Masimo devices to electronic health records and systems.

6.6/10
Overall
Features6.6/10
Ease of Use6.5/10
Value6.7/10
Standout feature

HL7 transfer of Masimo patient monitoring measurements into electronic medical records.

Masimo Iris Gateway links Masimo bedside monitoring data with hospital information systems, making it most relevant to facilities standardizing on Masimo devices. It routes patient measurements into electronic medical records and other clinical systems through interfaces such as HL7.

Pros
  • +Transfers Masimo bedside monitoring data into electronic medical records.
  • +HL7 interfaces support integration with hospital clinical systems.
  • +Can reduce manual transcription of monitor readings.
Cons
  • –Integration scope centers on clinical device data, not general workflow automation.
  • –Deployment requires coordination across device, network, and EHR teams.
  • –Facilities with mixed-vendor equipment may need additional connectivity products.

Best for: Fits when hospitals need Masimo monitor data routed into established EHR workflows.

How to Choose the Right Medical Device Connectivity Software

Connexall coordinates alarms across monitoring, nurse-call, and clinical communication systems, while Dräger Infinity Gateway Suite and GE HealthCare CARESCAPE Gateway route patient-monitoring data to downstream applications. Infor Clinical Bridge, Masimo Iris Gateway, Mindray BeneView Connectivity, Oracle Health CareAware iBus, and Philips Capsule connect bedside observations with clinical documentation, EHRs, or hospital systems; Matrix Connect links device products to cloud services through an SDK and web API.

Device coverage and interface depth differ: Dräger Infinity Gateway Suite and Mindray BeneView Connectivity focus on their respective device ecosystems, while Philips Capsule supports equipment from multiple manufacturers and Matrix Connect provides configurable data models and role-based access. Connexall focuses on alarm orchestration, Oracle Health CareAware iBus routes device observations, and InterSystems IRIS for Health provides configurable message routing and transformation.

How Medical Device Connectivity Software routes bedside data

Medical device connectivity software transfers measurements, alarms, and waveforms from bedside equipment to EHRs, central monitoring platforms, and clinical applications. It uses device interfaces, healthcare messaging, or APIs to make those feeds available for documentation, care coordination, and downstream applications.

Philips Capsule collects and routes normalized data from mixed bedside equipment, while Dräger Infinity Gateway Suite exposes real-time data from Infinity networks through HL7 interfaces and the WinAccess API. InterSystems IRIS for Health supports configurable routing, transformation, and orchestration across HL7 v2, FHIR, CDA, and DICOM exchange, while device-specific protocols may require adapters.

Integration scope, data handling, and operational control

Device and interface coverage determine which feeds a platform can route. Philips Capsule supports equipment from multiple manufacturers, while Dräger Infinity Gateway Suite centers on Infinity networks and Mindray BeneView Connectivity on BeneView monitors.

Data handling and workflow controls also vary. InterSystems IRIS for Health provides configurable routing and transformation across healthcare formats, while Connexall configures alarm routing and escalation for care-team responsibilities.

  • Device and fleet compatibility

    Philips Capsule supports equipment from multiple manufacturers, while Dräger Infinity Gateway Suite focuses on Dräger Infinity devices. Confirm exact device models and interfaces because Philips Capsule and GE HealthCare CARESCAPE Gateway require deployment-specific compatibility validation.

  • Data types and standards

    Dräger Infinity Gateway Suite provides real-time vital signs, alarm status, and waveform data through HL7 interfaces and the WinAccess API. InterSystems IRIS for Health supports exchange across HL7 v2, FHIR, CDA, and DICOM.

  • Routing and workflow automation

    Connexall routes and escalates alarms across monitoring, nurse-call, and clinical communication systems. InterSystems IRIS for Health provides configurable message routing, transformation, and orchestration.

  • API and data-model configuration

    Matrix Connect combines a native SDK and standards-based web API with configurable data models and workflows. GE HealthCare CARESCAPE Gateway supports HL7 messaging and API-based access for downstream integrations.

  • Administration and governance

    Matrix Connect includes role-based access controls, encrypted data transfer and storage, and quality-system and security controls. Infor Clinical Bridge provides limited public detail on API access and administration controls.

Match device feeds to interfaces and clinical workflows

Begin with the equipment and data that must reach downstream systems. Dräger Infinity Gateway Suite serves Infinity networks, while Oracle Health CareAware iBus routes observations from monitors, ventilators, and infusion pumps.

Then map interface requirements to the intended workflow. Connexall coordinates alarms and escalations, while Infor Clinical Bridge transfers bedside vital-sign observations into electronic clinical documentation.

  • Inventory devices and required feeds

    List device manufacturers, models, and required measurements, waveforms, or alarm status. Dräger Infinity Gateway Suite focuses on Infinity devices, and Mindray BeneView Connectivity focuses on BeneView monitoring equipment.

  • Specify downstream systems and interfaces

    Identify the EHRs, clinical applications, and central monitoring systems that must receive data. GE HealthCare CARESCAPE Gateway supports HL7 messaging and API-based access, while Dräger Infinity Gateway Suite offers HL7 interfaces and the WinAccess API.

  • Define routing and transformation needs

    Separate alarm coordination from measurement delivery and format transformation. Connexall configures alarm routing and escalation, while InterSystems IRIS for Health provides message routing, transformation, and orchestration.

  • Check configuration and governance requirements

    Document who manages interfaces, workflows, access, and deployment changes. Matrix Connect provides role-based access controls and configurable data models, while several device-specific gateways require coordination among hospital IT, clinical engineering, and device vendors.

  • Validate device and interface mappings

    Confirm compatibility for each device model and test the intended data path with clinical and IT teams. GE HealthCare CARESCAPE Gateway and Philips Capsule both require deployment-specific validation of device compatibility and interface mappings.

Teams served by device connectivity architectures

Hospital IT and clinical engineering teams need to align device feeds with local systems and interface mappings. Philips Capsule addresses mixed equipment fleets, while Dräger Infinity Gateway Suite and Mindray BeneView Connectivity focus on specific monitoring ecosystems.

Digital health and device companies have different cloud integration requirements. Matrix Connect provides a device-focused cloud platform with an SDK, web API, configurable data models, and role-based access.

  • Hospital IT teams connecting mixed device fleets

    Philips Capsule collects and routes normalized bedside data from equipment made by multiple manufacturers. Exact device models and interfaces still require validation.

  • Hospitals standardizing feeds from a specific monitor ecosystem

    Dräger Infinity Gateway Suite delivers real-time Infinity vital signs, alarm status, and waveform data. Mindray BeneView Connectivity links BeneView observations with central monitoring and hospital information systems.

  • Clinical teams coordinating alarm response

    Connexall routes and escalates alarms across patient monitoring, nurse-call, and clinical communication systems. Its workflows can map alerts to care-team responsibilities.

  • Healthcare interoperability teams managing multiple exchange formats

    InterSystems IRIS for Health supports HL7 v2, FHIR, CDA, and DICOM exchange with configurable routing and transformation. Device-specific protocols may require custom adapters or partner components.

  • Medical device and digital health product teams

    Matrix Connect connects hardware or software products to cloud services through a native SDK and standards-based web API. It also includes configurable data models, workflows, dashboards, and remote-monitoring alerts.

Compatibility and deployment planning pitfalls

A named interface or device family does not establish compatibility with every local model. Philips Capsule and GE HealthCare CARESCAPE Gateway require deployment-specific validation of device compatibility and mappings.

Integration planning can also overlook workflow ownership and format requirements. Connexall requires clinical and IT coordination for workflow configuration, while InterSystems IRIS for Health may need specialized interoperability expertise and custom adapters for device-specific protocols.

  • Assuming a platform supports every device model in a manufacturer family

    Validate exact models and interfaces before deployment. Philips Capsule and GE HealthCare CARESCAPE Gateway both require compatibility and mapping checks for the target environment.

  • Treating alarm orchestration as equivalent to measurement integration

    Define whether the requirement is alarm routing or data transfer into clinical records. Connexall coordinates and escalates alarms, while Infor Clinical Bridge transfers bedside vital-sign observations into clinical documentation.

  • Choosing a device-specific gateway for a heterogeneous fleet

    Compare the required equipment against each platform's stated scope. Dräger Infinity Gateway Suite centers on Infinity devices, while Philips Capsule supports equipment from multiple manufacturers.

  • Underestimating interface configuration and team ownership

    Assign clinical, IT, and clinical engineering responsibilities for mappings and deployment. Oracle Health CareAware iBus and Mindray BeneView Connectivity both require coordination with hospital teams.

  • Assuming all integration platforms expose the same API and administration detail

    Check the documented interface and control surface for the intended use. Matrix Connect specifies a native SDK, web API, configurable data models, and role-based access, while Infor Clinical Bridge provides limited public detail on API access and administration controls.

Analyst review of product information

Analysts gather product information from original publications and place each figure beside the passage that states it. Search tools open those publications and copy the figures for review.

Analysts compare each figure with official documentation, changelogs, and an independent review when one is cited, retaining figures that match those materials. A published benchmark is included only when that benchmark is the cited source.

Frequently Asked Questions About Medical Device Connectivity Software

How do vendor-neutral connectivity layers differ from monitor-specific gateways?
Philips Capsule collects and routes normalized data from mixed bedside equipment, while Dräger Infinity Gateway Suite focuses on Dräger Infinity networks. A hospital with a mixed fleet may need broader device coverage, while a facility centered on Infinity monitors can use Dräger’s real-time data paths.
Which integration standards and APIs do these products expose?
InterSystems IRIS for Health routes and transforms HL7 v2, FHIR, CDA, and DICOM messages, with REST APIs and SQL for downstream systems. Dräger Infinity Gateway Suite provides HL7 and the WinAccess API, while GE HealthCare CARESCAPE Gateway supports HL7 messaging and API access.
Which tools route alarms and clinical events rather than only patient measurements?
Connexall prioritizes, routes, and escalates alarms and clinical events across connected monitoring, nurse-call, and staff-communication systems. Mindray BeneView Connectivity can transmit alarm information, but its stated scope centers on BeneView monitor data and clinical-system connections.
Which platforms support device connectivity for remote patient monitoring products?
Matrix Connect provides a device SDK, web API, configurable data models, and remote-monitoring alerts for medical device and digital health teams. Its cloud platform also supports analytics, exports, and connections to EHRs and other systems.
What access controls and compliance information should IT teams compare?
Matrix Connect describes role-based access and controls aligned with standards and regulations including HIPAA, GDPR, FDA, and EU MDR requirements. InterSystems IRIS for Health provides role-based administration, while the product descriptions do not specify SSO support for these tools.
What compatibility issues can arise when connecting devices from different manufacturers?
Philips Capsule supports mixed bedside equipment, but deployment planning still requires model-specific compatibility and interface checks. Dräger Infinity Gateway Suite has a narrower Dräger-centered scope, so it is less suited to a single integration layer for a mixed device fleet.
Which products connect specific bedside monitor data to clinical records?
Masimo Iris Gateway routes Masimo monitor measurements to EHR workflows through interfaces such as HL7. Mindray BeneView Connectivity connects BeneView observations and alarm information with central monitoring and hospital information systems.
How should hospitals prepare for deployment or migration to a connectivity platform?
IT and clinical teams should inventory device models, map observations to destination records, and define interface ownership before moving data flows. Infor Clinical Bridge focuses on transferring bedside vital signs into clinical documentation, while Oracle Health CareAware iBus routes observations from monitors, ventilators, and infusion pumps to clinical systems.

Conclusion

After evaluating 10 medical device connectivity software, Matrix Connect stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Matrix Connect

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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