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Data Aggregation
Pull blood pressure, heart rate, activity, and weight readings from multiple Omron devices into one structured patient record.
Omron blood-pressure monitors, glucose meters, and activity trackers produce data clinicians can act on, but only if it lands in the EHR cleanly. The integration work is auth, data-cadence handling, and mapping each reading to a FHIR Observation. On ConnectHealth, the Omron connector and FHIR mapping are pre-built and deployed in your own cloud, so the BP and cardiac feed reaches your EHR HIPAA-ready without a per-device build.
ConnectHealth integrates Omron devices and stores each reading in standardized FHIR format, so blood pressure, heart rate, body temperature, and activity arrive in one consistent structure instead of per-device payloads. That FHIR normalization is what lets the data map straight to the right EHR flowsheet row.
ConnectHealth’s user-friendly dashboard provides a centralized hub for healthcare professionals to manage patient information, track progress, and make informed decisions.
Pull blood pressure, heart rate, activity, and weight readings from multiple Omron devices into one structured patient record.
Access live Omron device readings as they arrive, giving clinicians the data they need for timely intervention and care adjustments.
ConnectHealth stores and transmits Omron data under HIPAA-compliant controls: encryption in transit and at rest, role-based access, and audit trails.
Route Omron readings to the right care team member patients, nurses, and physicians see the same data without manual handoffs.
Omron APIs use OAuth-style authorization with short-lived tokens. Managing token refresh cycles securely without exposing credentials requires dedicated handling most teams underestimate.
BP and cardiac readings arrive when a patient takes a measurement, not on a fixed schedule. Pipelines built for constant streams break or create gaps when handling Omron's event-driven data flow.
A blood pressure reading is a paired systolic/diastolic value, not a single number. Mapping it correctly to FHIR Observation with the right LOINC codes and units is what prevents it landing as EHR free text.
Omron data needs to reach the correct EHR flowsheet not just arrive in the system. Without a FHIR-native layer, readings end up in manual reconciliation queues instead of flowing to the care team automatically.
Allow patients to actively participate in their healthcare journey by tracking their health data and sharing it with their providers.
Facilitate better communication and coordination among healthcare providers, improving care delivery.
Utilization of data insights to make informed clinical decisions, and optimize treatment plans, and personalize care.
Route Omron BP, heart rate, and weight readings directly to care team dashboards for managing hypertension, cardiac conditions, and diabetes so clinicians act on data before a condition deteriorates.
Bring home-based Omron vitals into your RPM workflow automatically flagging abnormal BP and cardiac readings for early clinical review without waiting for an in-person visit.
Aggregate Omron readings across your patient panel to surface BP and cardiac trends at the cohort level, targeting high-risk groups and improving quality measure performance.
Apply longitudinal Omron BP and cardiac readings to clinical studies and treatment protocol work structured FHIR data with device provenance built in from ingestion.
From Omron device readings to EHR flowsheet ConnectHealth handles the auth, FHIR mapping, and HIPAA controls. See the full integration in a 30-minute demo.
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Proven integrations ensure seamless connectivity with EHRs, payers, and digital health ecosystems.
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Achieved 90+ NPS with a user-centric approach ensuring seamless adoption and superior experience.
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We go beyond core healthcare solutions by offering a comprehensive suite of technology-driven services that enhance scalability, efficiency, security, and user experience.
From concept to deployment, we design and develop high-performance digital health products tailored to industry needs. Our approach focuses on scalability, security, and compliance, ensuring seamless functionality and a strong foundation for growth.
We provide custom AI/ML development services to help healthcare organizations automate workflows, enhance clinical decision-making, and extract actionable insights from data. Our expertise includes predictive analytics, NLP for medical records, and AI-powered automation tailored to your needs.
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We enable secure and efficient integrations across EHRs, medical devices, third-party APIs, and digital health platforms. Our team ensures data interoperability using FHIR, HL7, and custom API development, reducing silos and improving workflow efficiency.
We offer data engineering, analytics, and reporting services to help healthcare organizations harness their data effectively. Our team develops real-time dashboards, predictive models, and automated reporting to support better decision-making.
We help businesses meet HIPAA, GDPR, and other regulatory requirements by integrating security best practices into development. Our services include risk assessments, DevSecOps implementation, and data protection strategies for secure digital health solutions.
We help organizations design, develop, and integrate telemedicine platforms with features like video consultations, remote patient monitoring, and secure data exchange. Our services ensure seamless connectivity while maintaining compliance with healthcare regulations.
We provide end-to-end mHealth app development services, designing secure, user-friendly, and HIPAA-compliant mobile solutions for healthcare providers, patients, and caregivers. Our services include custom app design, wearable integrations, remote monitoring, and telehealth features to enhance patient engagement and care accessibility.
We develop custom Clinical Decision Support Systems (CDSS) that provide real-time insights, AI-driven recommendations, and predictive analytics to improve patient outcomes. Our solutions integrate seamlessly with EHRs and existing healthcare systems, reducing cognitive load and enhancing clinical decision-making.
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Data handling built for modern privacy expectations.
Role-based access with controlled PHI exposure.
Code reviews, dependency checks, and security gates.
Secure integrations designed for traceability and reliability.
Encryption in transit and at rest
Role-based access and least privilege
Secure SDLC with code reviews
Pen testing based on scope and riskSave minimum 40% in development costs and build products in 55% less time with our advanced solution accelerators.
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Read MoreThe Omron API is a set of healthcare-focused programming interfaces that lets developers connect to Omron blood pressure monitors, cardiac devices, glucose meters, and activity trackers. It enables clinical applications to retrieve patient readings, receive device notifications, and route structured health data into EHR systems and care platforms.
Omron API provides access to blood pressure readings (systolic and diastolic), heart rate, body temperature, blood oxygen, body weight, and activity data. The specific data points depend on the Omron device model and API version.
Omron's healthcare APIs are REST-based, so they work with any language that can make HTTP requests Java, Python, JavaScript, and Swift are all supported. SDK availability varies by device and partner agreement.
Omron's connected-health APIs use OAuth-style authorization. ConnectHealth manages the full token lifecycle obtaining, securely storing, and refreshing tokens before expiry so your team does not need to build per-device auth handling from scratch.
Each Omron BP reading (paired systolic/diastolic value with timestamp and device ID) maps to a FHIR Observation resource with the correct LOINC codes and UCUM units. The Device resource captures device provenance. ConnectHealth handles this mapping pre-built, so readings land in the correct EHR flowsheet row instead of arriving as free text.
Yes. ConnectHealth ingests Omron readings, normalizes them to FHIR Observation and Device resources, and routes them to your EHR through a SMART on FHIR or HL7 interface. Epic, Cerner, Meditech, Athena, and eClinicalWorks are supported.
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