Hospitals Shifted Revenue Cycles to Bulk Denial Resolution
Texas Health Resources and University of Maryland Medical System revamped workflows to batch-process insurance denials.
Updated on Oct. 9, 2026 in Healthcare
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Texas Health Resources and University of Maryland Medical System have transitioned to data-driven, bulk insurance denial resolution strategies. These health systems now prioritize identifying recurring payer patterns over repetitive, claim-by-claim tasking.
Why it matters
By identifying denial trends rather than managing individual rejections, health systems are reducing administrative labor costs and accelerating reimbursement cycles. This shift addresses mounting operational strain following recent software integration crises.
Texas Health Resources has spent 18 months reconstructing Epic workflows following a build crisis, while the University of Maryland Medical System established its command center 9 months ago. Both systems now leverage data-driven libraries to track denial frequency.
The players
Texas Health Resources
A non-profit health system headquartered in Arlington operating through an extensive network of hospitals and clinics.
University of Maryland Medical System
A multi-hospital organization based in Baltimore that serves as a regional healthcare provider and academic partner.
The details
Texas Health Resources and the University of Maryland Medical System now group denial codes to initiate single, bulk appeals rather than addressing each claim individually. This mechanism utilizes specialized staffing models and payer behavior libraries to standardize the response to rejected claims. When systematic patterns emerge, these organizations elevate the issue for resolution through a formal Joint Operating Committee with the payer.
Timeline
Texas Health Resources launched its Epic system in 2017.
The Epic build crisis occurred in April 2025.
University of Maryland Medical System built its command center in January 2026.
Market Landscape
This move represents a shift from foundational adoption of digital record-keeping toward high-efficiency optimization of revenue-cycle management. It follows the industry-wide trend of health systems maturing their Epic system integrations.
Operators should evaluate their own claim-denial data for recurring patterns that enable bulk-reprocessing opportunities. Reducing repetitive manual tasks by grouping denials by payer code can significantly lower administrative overhead.
The takeaway
The move toward bulk resolution replaces reactive tasking with proactive trend analysis to stabilize cash flow. Managers should track denial-code frequency in their revenue cycle systems to identify opportunities for consolidated payer negotiations.
Further reading
For more information on the evolving standards for institutional billing, visit the Healthcare section.
Source note: This article includes information reported by Becker's Hospital Review | Healthcare News & Analysis.
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