Inpatient Device Integration
Vital signs, medication, and lab results from bedside monitors, infusion pumps, and point-of-care devices flow automatically into the EHR.
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Device Data That Never Reaches the EHR Is a Clinical Problem
Bedside monitors, infusion pumps, and remote sensors generate patient data continuously — without an integration layer, it gets transcribed by hand or lost.
Remote Patient Monitoring
Wearables and home monitors — blood pressure cuffs, pulse oximeters, glucose monitors — reach care teams as FHIR Observation resources or HL7 messages.
Point-of-Care Connectivity
Point-of-care testing devices deliver blood glucose, coagulation, and blood gas results to the EHR as structured lab observations, linked to the right patient.
Key Capabilities — What Medical Device Integration Covers
Automated, reliable pathways for device data to flow into the clinical record — inpatient, outpatient, and remote.
Continuous vital signs from bedside monitors written into the EHR as structured observations.
Infusion pump data — dose, rate, volume, alarm events — written automatically into the medication administration record.
Blood glucose, coagulation and blood gas results from bedside testing devices delivered to the EHR via HL7 v2 ORU.
Home monitor and wearable data for chronic conditions, normalized to FHIR Observation resources or HL7.
The integration layer normalizes every manufacturer's format into LOINC codes and UCUM units for codified EHR data.
Device alarms routed to nurse call platforms, communication tools and early warning systems, and logged in the EHR.
Why Device Integration Is Harder Than It Looks
The devices and the EHR exist — getting reliable, clinically meaningful data between them takes engineering decisions that stay invisible until something breaks.
Every Device Manufacturer Uses a Different Protocol
Philips, GE, Mindray, Baxter, Abbott — each uses proprietary formats alongside IEEE 11073 and HL7, so integration built for one device family rarely transfers.
Normalization Requires Clinical Knowledge, Not Just Code
Mapping a reading to the correct LOINC code and UCUM unit takes understanding what the measurement means clinically — not just what the device calls it.
Patient Identity Matching Cannot Fail
Data written to the wrong record is a patient safety event. Integration must handle identity reliably across device reassignment, transfers, and shared rooms.
Alarm Volume Requires Thoughtful Filtering
Bedside monitors generate hundreds of alarms per patient per day. Routing them all without filtering creates noise that degrades data and clinical workflow.
The Medical Device Integration Process
A five-step process from inventory to clinical validation — each step deciding whether the integration works reliably in production.
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Device & Protocol Inventory
Device & Protocol Inventory
Catalog every device, its data, and its protocols — IEEE 11073, HL7 FHIR, proprietary vendor APIs, or legacy serial.
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Integration Engine Configuration
Integration Engine Configuration
Configure an integration engine to receive each device type — Capsule, Philips PerformanceBridge, or a custom layer.
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Data Mapping & Normalization
Data Mapping & Normalization
Map raw device data to LOINC, structure readings to HL7 or FHIR, and standardize units to UCUM for the EHR.
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EHR Write-back Configuration
EHR Write-back Configuration
Route normalized data to the right EHR destination — Epic Flowsheet or HL7 ORU for vitals, Oracle Health for labs.
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Clinical Validation & Go-Live
Clinical Validation & Go-Live
Validate with clinical informatics that readings reach the right patients and flowsheet rows before retiring manual entry.
Who This Is For
Device integration infrastructure for hospitals, health systems, and digital health companies across the U.S. and Canada.
Hospitals & Health Systems
Automated documentation from bedside monitors and infusion pumps to the right EHR flowsheet row.
Remote Patient Monitoring Programs
Connected home-device data — blood pressure, glucose, oxygen — into your EHR as structured observations.
Digital Health & MedTech Companies
We deliver your device's clinical data to the EHR structured, codified, and linked to the right patient.
Provincial & National Health Programmes
An integration layer scaling remote monitoring across thousands of patients through the provincial EHR.
Device Data Should Flow Automatically. Let's Build That Infrastructure.
We connect bedside monitors, infusion pumps, and remote sensors to your EHR reliably and at scale. Book a consultation to scope a production-ready integration.
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Frequently Asked Questions
[ 1 ]
What standards govern medical device integration in the United States?
IEEE 11073 governs point-of-care device communication, HL7 v2 ORU delivers results to the EHR, and FHIR Device and Observation resources cover API-based integrations. The FDA also regulates software acting on device data as Software as a Medical Device.
[ 2 ]
How does remote patient monitoring integration work technically?
It works across three layers: a wearable or home device captures measurements and transmits them via Bluetooth; a cloud RPM platform receives them through the manufacturer's API and applies clinical logic; and normalized data reaches the care team's EHR as FHIR Observation resources or HL7 messages.
[ 3 ]
What is the difference between device connectivity and device integration?
Connectivity is the physical link between a device and a receiving system. Integration is broader — connectivity plus normalization, clinical mapping, and EHR write-back — so a connected device's data lands in the right EHR record, linked to the right patient.
[ 4 ]
Which clinical devices are most commonly integrated in U.S. and Canadian hospitals?
Inpatient: bedside monitors from Philips, GE, Mindray, and Nihon Kohden; infusion pumps from Baxter, BD, and ICU Medical; and point-of-care testing devices from Abbott and Roche. Common RPM targets are blood pressure monitors, pulse oximeters, and continuous glucose monitors.
Global presence
