Webinar recap: How data integration and interoperability improve patient care

Breaking Down Silos: How Data Integration and Interoperability Improve Patient Care

Siloed cardiac device data doesn’t just slow teams down—it limits visibility, increases administrative strain, and introduces risk into patient care.

In this webinar hosted by HRX and sponsored by Murj^®, David Slotwiner, MD, FHRS—co-chair of the World Forum on CIED Follow-Up—joins industry leaders to explore how smarter data integration and true interoperability can transform cardiac device management. The panel dives into what it takes to move from fragmented systems to connected ecosystems that support faster decision-making, more efficient workflows, and better patient outcomes.

From real-world examples of missed data and delayed care to measurable gains in efficiency and scale, the conversation highlights both the urgency of the problem and the opportunity ahead. Watch the full discussion below, and read on to explore key takeaways and insights.

Key Takeaways

• Centralize monitoring to catch issues before they escalate
  Bring all device data into one system so your team can quickly spot disconnects, missed transmissions, or status changes—before they turn into urgent clinical events or missed follow-ups.

• Don’t just connect systems—own the data flow
  Assign clear ownership across IT and clinical teams to routinely audit interfaces, track failures, and resolve bottlenecks. Reliable outcomes depend on actively managing how data moves, not just setting up the connection.

• Standardize data now to unlock future capabilities
  Adopt structured, interoperable data frameworks so you can access discrete data points across vendors today—and be ready to layer in advanced analytics and AI without reworking your foundation later.

Detailed Insights

Mitigating patient safety risks from “silent failures”

When device monitoring relies on fragmented, vendor-specific platforms, clinics face significant vulnerabilities in oversight. The panel reviews a clinical case where a disconnected pacemaker transceiver led to an unrecognized battery depletion, turning an elective replacement into an emergency procedure. Establishing a unified monitoring structure is critical to proactively detect these connectivity drop-offs before they compromise patient safety.

Consolidating workflows to maximize clinical efficiency

Managing multiple proprietary device manufacturer vendor websites requires manual data retrieval and redundant documentation, which creates opportunities for errors and delays in care. By transitioning to a single, centralized monitoring ecosystem and automating data integration, one clinic successfully saved 22.5 minutes per patient. Across an annual volume of 12,500 monitors, this reclaimed 5,700 hours, allowing the clinic to redirect 2.7 full-time equivalent (FTE) positions directly back into clinical care.

Validating end-to-end data integration for system reliability

Technical connections between vendor platforms and EHR systems are often operationally incomplete, leading to data dropping silently during system handoffs. In one institutional example, unmonitored data flows resulted in 4,000 patient records stalling in a queue, significantly delaying billing and follow-up care. Implementing active IT controls, shared visibility, and continuous error monitoring stabilized the system, reducing billing time by 50 percent and supporting a 67 percent increase in patient volume without requiring additional staff.

Implementing data transport standards to support advanced analytics and AI

True interoperability requires both a common nomenclature and a standardized transport mechanism, such as Fast Healthcare Interoperability Resources (FHIR). This web-based, modular framework allows clinicians to pull specific data elements—such as battery status or connectivity alerts—from any vendor into a centralized dashboard, rather than relying on static PDF reports. Standardizing device data in this manner is a fundamental prerequisite for eventually integrating AI to reliably identify clinical trends and predict patient exacerbations.

Featured resources

See how the University of South Florida achieved structural integration and scaled their cardiac program.