Last updated: October 5, 2026
Once a clinic implants devices from more than one manufacturer, staff must log into multiple, separate, non-interoperable portals to retrieve patient data. Many device clinics manage patients across several manufacturers, each with its own proprietary portal, data format, and alert logic. This fragmentation creates unsustainable administrative burden, missed critical events, alert fatigue, and financial leakage from unbilled or mis-billed remote monitoring codes.
This article outlines nine solutions for breaking cardiac device data silos in clinics, ordered by clinic fit. Each solution explains the underlying architecture, including the named standards IDCO, HL7, and FHIR, and a pilot methodology that most vendor comparisons omit. Other platforms in this space include Murj, Implicity, Rhythm Management Group, and Octagos. The focus here is on the architecture and evaluation criteria any clinic should apply, and on what Rhythm360 specifically offers.
For broader context on how fragmented data affects clinical outcomes, see How Data Silos Affect Cardiac Patient Care in 2026.
A vendor-neutral platform ingests and normalizes data from all major CIED manufacturers into a single dashboard. This consolidation eliminates redundant portal logins and the manual reconciliation that follows. Every other item on this list depends on having a single source of truth for device data.
Rhythm360 by RhythmScience is the recommended vendor-neutral, AI-powered platform for this role. It ingests and normalizes disparate data streams from Medtronic, Boston Scientific, Abbott, and Biotronik into one unified workspace. University of Chicago Medicine reviewed more than 73,000 reports annually through Rhythm360 in calendar year 2025, averaging more than 18,000 reports per quarter. This scale demonstrates the platform's capacity for high-volume CIED data management.
Because vendor neutrality depends on breadth of coverage, require any vendor to demonstrate live ingestion from all four major OEMs before signing a contract. A platform that covers only one manufacturer cannot eliminate the multi-portal problem this solution is meant to solve.
Bi-directional integration ensures that device data flows into the EHR and that patient context flows back to the monitoring platform. Demographics, diagnoses, medications, and encounter history then remain aligned across systems. This alignment eliminates duplicate data entry and keeps the monitoring platform current with the clinical picture.
Require HL7 and FHIR APIs from any vendor. HL7 and FHIR-based connections that land device data as structured fields inside the chart let clinicians see transmission history and alert status the same way they see a lab result, without a separate portal login. Rhythm360 offers bi-directional EHR integration with Epic, Cerner, Athenahealth, eClinicalWorks, and Greenway Health via HL7.
Many OEM portals still deliver interrogation data as unstructured PDFs. AI-driven normalization using computer vision (OCR) maps that unstructured content into discrete structured fields. These structured fields make the data queryable and actionable instead of locking it inside a scanned document.
Rhythm360 normalizes data through four ingestion paths: API, HL7, XML, and PDF parsing via computer vision. Redundant data feeds and AI-powered extrapolation push transmissibility above 99.9%. Andrew Beaser, MD, Associate Professor of Medicine at University of Chicago Medicine, noted, "Decision support, including AI-assisted decision support, will become increasingly important as data volumes grow."
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Automated transmission intake, report generation, and billing documentation remove manual copy-pasting across disparate systems. Research has shown that in some remote monitoring programs, only 7% of alerts were judged to be clinically meaningful. Clinical staff therefore spend most of their review time on transmissions that require no action.
Require vendors to demonstrate AI-powered alert triage that filters non-actionable noise and surfaces clinically significant events. Rhythm360 offers AI-powered alert triage and optional 24/7/365 oversight from certified cardiac technicians (CCTs) supervised by physicians, reducing critical alert response times by up to 80%. The platform also automates CPT code capture and documentation for remote monitoring codes including 93294, 93295, 93296, 93297, 93298, 99453, 99454, and 99457.
The IDCO (Implantable Device Cardiac Observation) profile is an IHE standard that defines the workflow, nomenclature (IEEE 11073-10103), and format (HL7 v2.6) used to exchange both in-clinic and remote CIED device interrogations. It originated from a collaboration that began in 2006 when the Heart Rhythm Society joined the American College of Cardiology and Integrating the Healthcare Enterprise (IHE). The current authoritative IHE Cardiology domain Technical Framework, under which IDCO is published, is hosted at profiles.ihe.net/CARD.
The HL7 CardX-CIED implementation guide (version 2.0.0, published by HL7 International / Clinical Interoperability Council) translates the historical IDCO profile into FHIR profiles. Version 2.0.0 defines how device observations can be exchanged, queried, and reused across manufacturer platforms, middleware, and provider systems. The HL7 Caliper FHIR Accelerator, launched March 5, 2026, extends this foundation by creating a scalable, standards-based framework for real-time device data integration across all device types. The 2024 HRS perspective on advancing workflows for CIED remote monitoring, published in Heart Rhythm O2 (volume 5, issue 12, pages 845–853), identified interoperability use cases across the full CIED data lifecycle and established the roadmap that the CardX-CIED Working Group is now executing through sequential balloting cycles.
Discrete data in the EHR represents the most important architectural distinction in any vendor evaluation. A PDF report filed to the chart is a document. It cannot be trended, queried, or used in clinical decision support. Discrete FHIR resources are structured data elements that can drive downstream workflows.
The following fields must enter the EHR as discrete FHIR resources, not scanned documents: battery status, lead impedance, sensing amplitudes, pacing percentages, arrhythmia episodes, therapies delivered, alert status, device/lead model, and interrogation date. The HL7 CardX-CIED guide states that the goal of the IDCO use case is not only to render a report but to make the discrete findings within that report computable, including measurements, programmed settings, episode summaries, therapy details, notifications, and derived interpretations, so they can support downstream workflows such as inbox review, longitudinal trending, decision support, registry submission, and incorporation into the medical record.
Ask every vendor to show exactly which of these nine fields land as discrete structured data in your EHR versus which arrive as a PDF attachment. That answer determines whether your EHR can trend battery depletion, flag lead impedance drift, or surface arrhythmia burden in a decision support rule. For a deeper look at unifying these data streams, see 7 Essential Strategies to Unify Cardiac Device Data.
OEM-native integrations solve data retrieval for their own devices but keep multi-vendor silos in place. Boston Scientific's LATITUDE Link transfers data to an EMR via Bluetooth or USB and is OEM-native to Boston Scientific devices. It does not aggregate data from Medtronic, Abbott, or Biotronik devices. BIOTRONIK DataSync is limited to single-manufacturer data, exporting only BIOTRONIK patient and device data from BIOTRONIK Home Monitoring and BIOTRONIK programmers directly into a hospital's electronic health record. A vendor-neutral platform like Rhythm360 ingests and normalizes data from all major manufacturers in a single workflow. The table below shows how the two approaches differ across the capabilities that matter most in a vendor evaluation.
| Capability | OEM-Native Integrations (LATITUDE Link, DataSync) | Vendor-Neutral Platform (Rhythm360) |
|---|---|---|
| OEM Coverage | Single-manufacturer only | All major manufacturers (Medtronic, Boston Scientific, Abbott, Biotronik) |
| EHR Connectivity | Limited, manufacturer-specific | Bi-directional via HL7 and FHIR with Epic, Cerner, Athenahealth, eClinicalWorks, Greenway Health |
| Data Format | Proprietary, often PDF-based | Normalized discrete data via API, HL7, XML, and PDF parsing via computer vision |
For a broader comparison of interoperable platform options, see Best Interoperable Cardiac Device Data Management Platforms.
Large enterprise EHRs like Epic and Oracle Health (Cerner) require rigorous certification through programs such as App Orchard/Showroom and CODE, which involve security review, privacy attestation, and architectural validation before connections can go live. Generic FHIR support rarely matches a specific clinic's local implementation because every health system tunes those interfaces differently.
For Epic, cardiac device data enters via the IHE Implantable Device – Cardiac Observations (IDCO) profile and HL7 interfaces and FHIR APIs, with data incorporated into the patient chart as discrete observations. For Cerner, HL7 ADT and results feeds carry device data into the encounter record. For Athenahealth, modern APIs support many use cases, but specific cardiac monitoring fields and write-back behaviors still require careful mapping. Rhythm360 offers bi-directional EHR integration with all three systems, as well as eClinicalWorks and Greenway Health, via HL7. Onboarding, including integration setup, typically takes from a few days to a few weeks.
A structured pilot provides the most defensible way to evaluate a cardiac device integration platform before full deployment. Define success criteria before go-live so the evaluation remains objective and presentable to clinical and administrative leadership.
Track the following qualitative operational metrics during the pilot period:
Use these operational metrics to evaluate pilot performance against your clinic's pre-integration baseline. The 2023 HRS/EHRA/APHRS/LAHRS expert consensus statement on practical management of the remote device clinic notes that optimal remote monitoring workflows require coordination of multiple software systems. A pilot validates that coordination in your specific environment. See also 7 Solutions to Break Cardiology Data Silos & Boost Revenue for additional operational frameworks.
With the nine solutions covered, the next step is applying them directly during vendor conversations. Use the following questions during vendor demos to evaluate whether a platform can genuinely break cardiac device data silos in your clinic:
IDCO is the IHE profile described in Solution 5. In short, it standardizes how CIED interrogations are exchanged across manufacturers so clinics can rely on consistent workflow, terminology, and message structure.
Cardiac device data enters Epic or Cerner via HL7 and FHIR interfaces. A vendor-neutral platform like Rhythm360 ingests data from all major OEM portals, normalizes it using API, HL7, XML, and PDF parsing via computer vision, and writes it into the EHR as discrete data elements using bi-directional integration. Epic requires certification through its App Orchard program before connections go live. Cerner uses its CODE program for the same purpose. Every health system tunes these interfaces locally, so a platform with pre-built, validated integrations for your specific EHR instance will deploy significantly faster than a custom build.
Discrete data means individual clinical measurements are stored as structured FHIR resources that can be trended, queried, and used in clinical decision support rules. A PDF report is a scanned or rendered document filed as an attachment to the chart. It is human-readable but not machine-readable, so it cannot be queried across a patient population, trended over time, or used to trigger an alert when a threshold is crossed. The HL7 CardX-CIED guide is explicit that the goal of the IDCO use case is to make discrete findings computable, not merely to render a report.
Measure success using operational metrics collected against your pre-integration baseline. Focus on staff minutes per transmission reviewed, portal logins eliminated per day, volume of manual charting reduced, alert response time from transmission receipt to clinical action, missed transmissions per reporting period, and percentage of device data entering the EHR as discrete structured fields versus PDF attachments. Establish baseline measurements in the two to four weeks before go-live so the pilot comparison reflects your clinic's actual workflow instead of vendor-supplied averages.
Implementing these nine solutions individually is possible, yet the most successful clinics use an integrated platform that addresses multiple items on the list at once. Rhythm360 streamlines the entire process of breaking cardiac device data silos in clinics, from multi-OEM ingestion and AI-driven normalization to bi-directional EHR integration and automated CPT code capture. Practices using Rhythm360 have achieved up to an 80% reduction in critical alert response times and up to a 300% increase in revenue capture. As the University of Chicago Medicine example above shows, a vendor-neutral platform can handle high-volume CIED data at scale.
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