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ExtraHop Ensures ICD-9 to ICD-10 Migration Readiness for Healthcare IT

ExtraHop announced the ICD-10 Audit bundle, designed to streamline the conversion from ICD-9 to ICD-10 with real-time visibility and tracking of diagnostic codes being used across the healthcare IT environment.

Healthcare CIOs now have an automated, non-invasive method of tracking all ICD-9 and ICD-10 interface messages by application, facility, message type, and rate of messages in real-time. This visibility provides the information needed to ensure vendor accountability, assure business stakeholders that all claims will be correctly processed, and reduce the resources required for complete migration by October 1.

A recent beta test of ICD-10 readiness by the Centers for Medicare and Medicaid Services (CMS) found that nearly one-fifth of the claims submitted using the new coding scheme were rejected – a rate far higher than average. This testing underscores just how massive an undertaking the ICD-10 conversion actually is, and should serve as a wake-up call for Healthcare Delivery Organizations (HDOs) about the potentially significant financial ramifications of failure to meet the October 1st migration deadline.

The steep learning curve for ICD-10 coding means that HDOs need to act quickly to begin implementing the new standards before the deadline. According to Gartner analyst Melanie Meyer, “We recommend that HDOs move to ICD-10 in advance of the compliance date. Lessons learned from early ICD-10 coding, and the greater level of detail in the new code sets, will provide a richer dataset for clinical and financial analysis, and enable more accurate financial modeling, thereby positioning the organization well for the future.”

The ExtraHop ICD-10 Audit bundle adds new capabilities to the current ExtraHop Healthcare Edition, demonstrating the value and extensibility of the ExtraHop wire data analytics platform to deliver actionable insights and benefits for IT intelligence and business operations. The ICD-10 Audit bundle auto-detects, analyzes, and categorizes all ICD codes contained within HL7 traffic in real time across a heterogeneous environment.

The bundle also provides IT teams with a comprehensive list of all applications (sending and receiving) and corresponding interfaces that are using ICD-9 and ICD-10 codes. This real-time visibility and analysis enables IT and business stakeholders to quickly detect areas where migration is incomplete. With this information, IT teams can prioritize and rapidly update applications and interfaces to ensure compliance by the October 1 migration deadline.

In the period leading up to the migration, the ICD-10 Audit bundle also provides HDOs the flexibility to code in ICD-9 as needed while still getting ICD-10 coding in place. Given the scope and business ramifications of such a massive change, leveraging the ExtraHop ICD-10 Audit bundle for increased efficiency and business assurance could save HDOs millions.

“I know from many conversations with our healthcare customers that the migration to ICD-10 has been problematic and costly for Healthcare IT,” said Jesse Rothstein, CEO, ExtraHop. “With the ICD-10 Audit bundle, ExtraHop is providing these organizations with the real-time visibility they need to effectively assess migration readiness. It also demonstrates the extensibility of the ExtraHop platform, and the power of wire data to deliver actionable insight that can help IT and business better allocate resources, save costs, and improve performance.”

The ICD-10 Audit bundle is free for all ExtraHop customers who purchase the ExtraHop Healthcare Edition.

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ExtraHop Ensures ICD-9 to ICD-10 Migration Readiness for Healthcare IT

ExtraHop announced the ICD-10 Audit bundle, designed to streamline the conversion from ICD-9 to ICD-10 with real-time visibility and tracking of diagnostic codes being used across the healthcare IT environment.

Healthcare CIOs now have an automated, non-invasive method of tracking all ICD-9 and ICD-10 interface messages by application, facility, message type, and rate of messages in real-time. This visibility provides the information needed to ensure vendor accountability, assure business stakeholders that all claims will be correctly processed, and reduce the resources required for complete migration by October 1.

A recent beta test of ICD-10 readiness by the Centers for Medicare and Medicaid Services (CMS) found that nearly one-fifth of the claims submitted using the new coding scheme were rejected – a rate far higher than average. This testing underscores just how massive an undertaking the ICD-10 conversion actually is, and should serve as a wake-up call for Healthcare Delivery Organizations (HDOs) about the potentially significant financial ramifications of failure to meet the October 1st migration deadline.

The steep learning curve for ICD-10 coding means that HDOs need to act quickly to begin implementing the new standards before the deadline. According to Gartner analyst Melanie Meyer, “We recommend that HDOs move to ICD-10 in advance of the compliance date. Lessons learned from early ICD-10 coding, and the greater level of detail in the new code sets, will provide a richer dataset for clinical and financial analysis, and enable more accurate financial modeling, thereby positioning the organization well for the future.”

The ExtraHop ICD-10 Audit bundle adds new capabilities to the current ExtraHop Healthcare Edition, demonstrating the value and extensibility of the ExtraHop wire data analytics platform to deliver actionable insights and benefits for IT intelligence and business operations. The ICD-10 Audit bundle auto-detects, analyzes, and categorizes all ICD codes contained within HL7 traffic in real time across a heterogeneous environment.

The bundle also provides IT teams with a comprehensive list of all applications (sending and receiving) and corresponding interfaces that are using ICD-9 and ICD-10 codes. This real-time visibility and analysis enables IT and business stakeholders to quickly detect areas where migration is incomplete. With this information, IT teams can prioritize and rapidly update applications and interfaces to ensure compliance by the October 1 migration deadline.

In the period leading up to the migration, the ICD-10 Audit bundle also provides HDOs the flexibility to code in ICD-9 as needed while still getting ICD-10 coding in place. Given the scope and business ramifications of such a massive change, leveraging the ExtraHop ICD-10 Audit bundle for increased efficiency and business assurance could save HDOs millions.

“I know from many conversations with our healthcare customers that the migration to ICD-10 has been problematic and costly for Healthcare IT,” said Jesse Rothstein, CEO, ExtraHop. “With the ICD-10 Audit bundle, ExtraHop is providing these organizations with the real-time visibility they need to effectively assess migration readiness. It also demonstrates the extensibility of the ExtraHop platform, and the power of wire data to deliver actionable insight that can help IT and business better allocate resources, save costs, and improve performance.”

The ICD-10 Audit bundle is free for all ExtraHop customers who purchase the ExtraHop Healthcare Edition.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

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