Fuse Oncology plans to demonstrate a potential integration between GE HealthCare’s Intelligent Radiation Therapy software and its S!GNAL charge-capture platform at ASTRO 2026, showing how radiation oncology teams could move from patient workflow coordination to targeted billing review without switching systems.
Radiation oncology providers often rely on separate systems for electronic medical records, treatment planning, oncology information management and billing. Fuse Oncology is now exploring a workflow that could connect those processes more closely, potentially reducing the manual work involved in identifying missed or incorrectly captured charges.
The company plans to showcase a potential workflow experience between GE HealthCare’s Intelligent Radiation Therapy (iRT) software and Fuse Oncology’s S!GNAL charge-capture solution at the ASTRO 2026 Annual Meeting in Boston.
The concept would allow users working within iRT to launch S!GNAL using patient information already available in the clinical workflow. From there, users could move directly into targeted charge review while retaining patient context.
The integration is not yet a generally available product. Fuse says the capability is being developed and evaluated for a potential future iRT release, with commercial availability to be announced later.
That distinction matters because the demonstration is less about a finished integration than about where radiation oncology software workflows could be heading: toward connected systems that carry context between clinical operations and administrative processes.
GE HealthCare’s iRT is designed to coordinate radiation therapy workflows and connect different tools involved in moving patients from diagnosis toward treatment. Fuse’s S!GNAL addresses a different part of that process by examining radiation oncology charge data for potential missed or miscoded services.
The two functions highlight a longstanding operational challenge in specialized healthcare environments.
Charge capture in radiation oncology can depend on information distributed across clinical documentation, treatment planning systems and treatment delivery records. A missing image-guided radiation therapy charge, physics consultation or weekly treatment-management charge may not become apparent until considerably later.
By that point, staff may need to reconstruct the original clinical circumstances and coordinate across clinical, financial and billing teams.
Fuse says S!GNAL is designed to move that review closer to the point of service. The platform evaluates charge data daily and flags potential missed or miscoded charges within 24 hours.
Its rules cover radiation oncology billing categories including treatment delivery, IGRT, physics, treatment management and dosimetry planning. For planning-related charges, the company says S!GNAL evaluates discrete information from the treatment planning system rather than relying solely on document names or predefined templates.
Natural language processing is then used to compare those expectations with information contained in clinical documentation.
The approach illustrates a broader trend in healthcare technology: applying automation and AI-supported analysis to administrative workflows that traditionally depend on manual reconciliation.
For providers operating multiple radiation oncology locations, standardization can be another challenge. Different facilities may operate under different workflows or organizational structures, making a single set of assumptions difficult to apply across an entire network.
Fuse says S!GNAL can be installed once across a multi-site organization while configuring rules independently for individual locations. That allows different settings to reflect the operational requirements of freestanding clinics and hospital-based departments.
The company points to an 18-site radiation oncology network as an example. Across 15 sites using S!GNAL, Fuse says the system identified $1.09 million in missed treatment delivery and IGRT charges between July 2024 and March 2025. The company also reports that the charges were identified within 24 hours of service and that charge lag declined by more than 30 days.
Those figures are company-reported results rather than independent validation, but they illustrate the potential financial impact of bringing charge detection closer to clinical activity.
The proposed iRT-S!GNAL workflow could take that concept a step further by placing charge review inside an existing radiation therapy workflow rather than requiring clinicians or revenue-cycle teams to navigate between disconnected applications.
That kind of integration is increasingly important as healthcare organizations attempt to reduce administrative burden without adding another layer of software for staff to manage.
The challenge is particularly relevant to radiation oncology because the treatment journey generates large volumes of structured and unstructured information across multiple specialized systems. Connecting those data sources can potentially improve operational visibility while reducing repetitive manual reconciliation.
The development also fits into a broader healthcare technology movement toward interoperability and workflow automation. Rather than asking users to move data between applications, vendors are increasingly looking to make software systems work around existing clinical processes.
For healthcare IT leaders, the value proposition therefore extends beyond charge capture. The larger question is whether specialized clinical and administrative systems can share enough context to automate downstream processes while maintaining appropriate controls over patient information and billing decisions.
Fuse’s planned demonstration will take place during the ASTRO 2026 exhibit dates, September 27–29, at booth 2533 in Boston.
For now, the proposed connection remains a future capability rather than a broadly available product. But the concept points toward a healthcare software model in which patient workflow, clinical data and revenue-cycle operations are more tightly connected—and where automation can identify administrative issues before they become retrospective cleanup projects.
Market Landscape
Healthcare providers are increasingly looking to connect clinical, operational and revenue-cycle workflows rather than treating them as isolated software environments. In radiation oncology, this means linking oncology information systems, treatment planning, clinical documentation and billing processes.
The emerging opportunity is not simply automation for its own sake. Providers need systems that preserve clinical context while reducing repetitive reconciliation and identifying exceptions earlier.
AI and natural language processing are also expanding beyond clinical decision support into administrative use cases such as coding, documentation review, revenue-cycle management and workflow orchestration.
The potential GE HealthCare–Fuse Oncology workflow reflects that broader transition from standalone healthcare applications toward connected, context-aware workflows.
Top Insights
- Fuse Oncology plans to demonstrate a potential iRT-to-S!GNAL workflow connecting radiation treatment coordination with targeted charge review.
- S!GNAL analyzes radiation oncology charge data daily and aims to identify potential billing issues within 24 hours.
- Fuse reports more than $1 million in missed charges identified across 15 sites in one customer deployment.
- The proposed integration could reduce manual handoffs between clinical workflows and revenue-cycle operations.
- The capability remains under development and is not yet commercially available as an iRT release.
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