We build the integration layer that connects bedside monitors, infusion pumps, and remote sensors directly to your EHR — automated, real-time, and LOINC-normalized.
Talk to our integration team about your clinical device landscape. We reply within 24 hours.
Bedside monitors, infusion pumps, and remote sensors generate critical patient data continuously. Without a proper integration layer, that data either gets manually transcribed or disappears entirely.
Bedside monitors, infusion pumps, ventilators, and point-of-care testing devices in hospital settings. Vital signs, medication administration records, and lab results flow automatically into the EHR — eliminating manual transcription and documentation gaps.
Wearable devices and home health monitors for chronic disease management. Data from connected blood pressure cuffs, pulse oximeters, and continuous glucose monitors reaches care teams as structured FHIR Observation resources or HL7 messages.
Bedside and outpatient point-of-care testing devices delivering blood glucose, coagulation, blood gas, and electrolyte results directly to the EHR as structured laboratory observations — linked to the correct patient, encounter, and ordering provider.
We build automated, reliable pathways for device-generated data to flow directly into the clinical record — inpatient, outpatient, and remote.
The devices exist. The EHR exists. Getting reliable, accurate, clinically meaningful data from one to the other involves engineering decisions that are invisible until something goes wrong.
Philips, GE, Mindray, Baxter, BD, Abbott — each uses proprietary formats alongside standards like IEEE 11073 and HL7. An integration that works for one device family rarely transfers to another without significant rework.
Mapping a device reading to the correct LOINC code, with the right UCUM unit, linked to the right observation category in the EHR, requires understanding what the measurement means clinically — not just what the device calls it.
Device data written to the wrong patient record is a patient safety event. A production device integration must handle patient identification reliably — including edge cases like device assignment changes, admission transfers, and multi-patient rooms.
Bedside monitors generate hundreds of alarms per patient per day. Routing every alarm event to the EHR and clinical communication systems without a well-designed filtering strategy creates noise that degrades both the data and the clinical workflow.
Device integration follows a five-step process from inventory to clinical validation. Each step has specific technical and clinical requirements that determine whether the integration will work reliably in production.
Catalog every device needing integration, the data it produces, and the protocols it supports — IEEE 11073, HL7 FHIR, proprietary vendor APIs, or legacy serial protocols.
Configure a device integration engine or middleware to receive data from each device type — Capsule Technologies, Philips PerformanceBridge, cloud-based RPM platforms, or a custom integration layer.
Map raw device data to LOINC codes, structure readings to HL7 or FHIR schemas, and standardize units to UCUM — so clinically accurate, consistently structured data arrives in the EHR.
Configure normalized device data to the correct EHR destination — Epic Flowsheet API or HL7 ORU for vitals, Oracle Health write endpoints for lab results.
Validate with clinical informatics staff that readings arrive at the correct intervals, linked to the correct patients, in the correct flowsheet rows — before retiring manual documentation.
We build device integration infrastructure for hospitals, health systems, and digital health companies across the U.S. and Canada. Hover a card to see how we work with each.
Bedside monitors, infusion pumps, remote sensors — we build the integration layer that connects clinical devices to your EHR reliably and at scale. Book a consultation with our integration team and we will tell you what a production-ready device integration looks like for your environment.
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Several standards are relevant. IEEE 11073 is the international standard for point-of-care and personal health device communication. HL7 v2 ORU messages are the most common format for delivering device-generated results to EHR systems. FHIR Device and Observation resources are the modern standard for API-based integrations. The FDA also regulates certain software components that receive and act on device data as Software as a Medical Device — which has regulatory implications for how device integration platforms are designed and validated.
Remote patient monitoring integration involves three layers. The device layer — a wearable or home health device captures measurements and transmits them via Bluetooth to a paired smartphone or hub. The platform layer — a cloud-based RPM platform receives data from the device manufacturer's API, stores it, and applies clinical logic such as threshold alerting. The EHR integration layer — normalized patient data is delivered to the care team's EHR as FHIR Observation resources or HL7 messages so the clinical record reflects what the patient's devices captured outside clinic visits.
Device connectivity refers to the physical and network-level connection between a device and a receiving system. Device integration is the broader process that includes connectivity plus data normalization, clinical mapping, EHR write-back, and workflow integration. A device can be connected to a network without being integrated into the clinical workflow. Integration means the data the device generates actually appears in the right place in the EHR, linked to the right patient, in a clinically meaningful format that care teams can rely on.
The most commonly integrated devices in inpatient settings are bedside patient monitors from Philips, GE Healthcare, Mindray, and Nihon Kohden. Infusion pumps from Baxter, BD, and ICU Medical are also widely integrated. Point-of-care testing devices from Abbott, Roche, and Nova Biomedical are integrated for bedside lab result delivery. In outpatient and remote settings, blood pressure monitors, pulse oximeters, and continuous glucose monitors from Dexcom and Abbott are common integration targets for remote patient monitoring programs.
