As healthcare organizations build and maintain increasingly complex integrations, troubleshooting and optimizing those connections can take up a significant amount of an integration team’s time. That’s where AI tools like Rhapsody Axon are starting to make a difference. In our recent interview at Rhapsody Connect, Brandy Mason, Technical Lead for Surgical Growth Data Integrations at Qventus, and Corinne Pellows, Director of Product Management at Rhapsody, shared how Axon is helping integration teams work more efficiently.
Mason explains how she uses Axon to troubleshoot integration routes and filters, including catching small coding errors that can cause bigger problems. She’s also used it to build a route from scratch, turning JSON payloads into CCDA messages in a process that saved her hours of work. In another example, Axon helped identify a way to improve message throughput by replacing a JavaScript filter with a simpler debatch step, resolving recurring alerts and message queue backups.
Pellows shares how Rhapsody is seeing other customers use Axon to troubleshoot performance issues, understand changes to their integration environments, and get up to speed on healthcare standards. She also discusses how customer feedback is shaping Axon’s development, including new capabilities designed to help users manage and triage support tickets.
Both Mason and Pellows emphasize that AI assistance doesn’t mean blindly accepting recommendations. Integration professionals still need to understand their environments and carefully review suggestions before putting changes into production. They also share some practical advice for teams getting started with AI, including beginning with questions they already know how to answer so they can build trust in the technology.
Watch the full interview to hear how Qventus is using Rhapsody Axon and how AI is already starting to streamline healthcare integration efforts.
Learn more about Qventus: https://www.qventus.com/
Learn more about Rhapsody: https://rhapsody.health/
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