Fifth-generation extraction technology, expanded correspondence capabilities and major performance gains help healthcare organizations manage growing volumes of unstructured data
Revenue Management Solutions (RMS), a leading provider of healthcare remittance and revenue cycle automation solutions, announced enhancements to its proprietary technology platform. The updates improve how RMS extracts, interprets and routes information from complex healthcare documents, enabling greater accuracy, speed and scalability for healthcare providers and financial partners.
“Healthcare organizations need data they can trust inside mission-critical workflows. We focus on grounding and validating every layer so we can use advances in AI without introducing uncertainty into revenue cycle operations.” – Greg Bugaj, CIO at RMS
At the center of the release is RMS’s fifth-generation document extraction technology, combining specialized artificial intelligence models with layered validation and deterministic controls. Rather than relying on general-purpose AI, RMS builds and fine-tunes models for specific document types and tasks.
“Healthcare organizations need data they can trust inside mission-critical workflows,” said Greg Bugaj, Chief Information Officer at RMS. “We focus on grounding and validating every layer so we can use advances in AI without introducing uncertainty into revenue cycle operations.”
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Moving Beyond Template-Based Extraction
Healthcare documents vary widely by payer, format and structure, often breaking traditional template-based systems. RMS evaluates document content and structure, including layout and relationships between data elements. Multiple analytical layers help the system interpret meaning even when formats change, improving consistency across EOBs, correspondence and other unstructured documents.
Significant Gains in Speed and Scale
RMS has increased large-document processing capacity by up to 10x, enabling higher page volumes, faster batch processing and improved handling of spikes in payer documentation. This reduces turnaround time for remittance data delivery and strengthens resilience during industry disruptions.
Turning Unstructured Correspondence into Actionable Data
RMS is applying its enhanced extraction technology to payer correspondence, a highly manual revenue cycle challenge. The platform can identify document type, sender and key information, helping route correspondence into the appropriate workflow.
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RMS has expanded its correspondence classification capabilities from 13 to 25 categories, with advanced payer and sender identification and intelligent indexing.
“We’re not simply digitizing documents,” said Bryan Irwin, Chief Product Officer at RMS. “We’re giving organizations more usable information from payer communication so they can reduce manual review and move work to the right place faster.”
Built for a More Complex Payer Environment
Healthcare organizations face longer, less standardized payer documents that often span multiple patients or claims. RMS’s enhancements reduce the manual burden of interpreting and routing this information while improving scalability, accuracy and adaptability to payer format changes.
RMS is also extending its fifth-generation technology beyond 835 EOB processing into additional document types, including workers’ compensation and other non-standard documentation. Because the system interprets information based on context rather than fixed templates, it can support a broader range of revenue cycle workflows.
