Automation and Human Expertise Equates to Big Gains
Oct 1, 2025
With over 7,000 accessions per day, Wuscott lifted this provider's revenue more than 30% in just three months. A national diagnostic lab processing over 7,000 accessions per day was falling drastically short of its revenue projections—by nearly 50%. Despite strong test volumes, collections were lagging due to breakdowns in their revenue cycle management (RCM) processes. Claims were routinely getting “stuck” in the system—never reaching the clearinghouse or payer, and often going unnoticed by staff due to the lab’s massive daily volume. The client identified Wuscott as the right vendor to assist in identifying problems and deriving solutions. Our process commences with a thorough evaluation of RCM workflows, software, and data, to uncover root causes.
Problem #1: Claim Loss
With a high throughput client, claims can routinely get “stuck” in the system—never reaching the clearinghouse or payer, and often going unnoticed by staff due to the lab’s massive daily volume. Our team quickly identified that the client’s billing system was not flagging these stagnant claims resulting in idle for weeks—or longer.
Asking the RCM vendor to review its software or address tickets can be daunting and although Wuscott pointed the client towards doing so, Wuscott also deployed an automative resubmission process for this problem. The bot continuously monitors all claims and identifies any that show no acknowledgment activity after 14 days. It then automatically resubmits those claims—without staff intervention—ensuring nothing gets lost in the shuffle.
The Outcome
Between March 1 and July 1, 2025, Wuscott’s bot resubmitted 37,351 claims. Of those, 9,473 resulted in successful payments, generating $541,935 in recovered revenue. The client averages payment after 30 days, so we anticipate many more of these will generate revenue, but for now the numbers associated with an automated process were welcomed by the client:
• $14.51 recovered per resubmission
• $57.21 per successfully paid accession
• Fully automated, zero staff time required
Problem #2: Stagnant Claims or Missing Information
In the lab industry, insurance information is often incomplete or inaccurate by the time it reaches the billing system—especially for high-volume, ancillary labs that don't collect data at the point of care. This results in tens of thousands of unbilled or denied claims, quietly draining revenue potential.
Wuscott's Approach
Wuscott designed a hybrid automation approach combining robotic process automation (RPA) with strategic manual oversight. The bot scans accessions missing valid insurance data, cross-references from previous paid claims, multiple external websites and databases, then applies logic to identify the most likely insurance and correct bad or missing information. For edge cases, manual intervention fills the gap—turning “unbillable” into paid.
The Outcome
Between March 1 and July 1, 2025, Wuscott’s insurance-correction automation fixed 41,747 accessions, leading to 6,124 paid claims and $486,568 in recovered revenue.
• $7.88 per accession corrected
• $79.45 per successful payment
• Hybrid automation reduces denials and boosts clean claim rates
Problem #3 – Accounts Receivable
With more than $100 million in aging accounts receivable—and tens of thousands of accessions over 60 days old—the client was sitting on a massive backlog of unpaid claims. Many dated as far back as January 2024, long forgotten or assumed uncollectable. This was a situation that demanded both expert human oversight and intelligent automation.
Wuscott's Approach
Wuscott designed a dual-path recovery strategy. Wuscott experts reviewed data identifying thousands of claims eligible for resubmission, correction, or appeal. Wuscott then designed several bots to address claims that missed modifiers and incorrect diagnosis. In parallel, Wuscott experts reviewed claims requiring nuanced action—missing information or denials that required payer-specific appeals.
Key workflows included:
• Intelligent appeal generation
• Automated corrections for medical necessity and bundling edits
• Manual rejection handling
The Outcome
From March 1 to July 1, 2025, Wuscott revived 60,490 claims. Of those, 17,137 were successfully paid, recovering $2,352,982 in long-overdue revenue.
• $38.89 per claim worked
• $137.33 per paid claim
• Historic AR recovery without disrupting the client’s internal teams
Conclusion
Wuscott was engaged by a large diagnostic lab facing widespread revenue leakage across its revenue cycle operations. With over 7,000 accessions per day and $100M+ in aging A/R, the lab had strong test volume but weak collections—falling nearly 35% below projections.
Wuscott deployed a blend of automation and expert oversight to address core RCM failures:
• Stagnant Claims: A bot monitored for unacknowledged claims and automatically resubmitted them—resulting in $541,935 in recovered revenue.
• Bad Insurance Info: Automation paired with manual review corrected 41,747 accessions, generating $486,568 in payments.
• Aged A/R: Combining bots and human experts, Wuscott worked 60,490 old claims and recovered $2,352,982 in revenue.
• Human + Bot Synergy: From coding fixes to payer-specific appeals, our dual-path strategy proved critical for long-tail recovery.
Total Value Delivered (Mar–Jul 2025): 169,777 claims touched → $3,381,485 in recovered revenue
Wuscott’s approach simply involves data analysis to identify gaps, automate wherever possible, intervene when necessary, and deliver measurable returns with minimal disruptions.
With over 7,000 accessions per day, Wuscott lifted this provider's revenue more than 30% in just three months. A national diagnostic lab processing over 7,000 accessions per day was falling drastically short of its revenue projections—by nearly 50%. Despite strong test volumes, collections were lagging due to breakdowns in their revenue cycle management (RCM) processes. Claims were routinely getting “stuck” in the system—never reaching the clearinghouse or payer, and often going unnoticed by staff due to the lab’s massive daily volume. The client identified Wuscott as the right vendor to assist in identifying problems and deriving solutions. Our process commences with a thorough evaluation of RCM workflows, software, and data, to uncover root causes.
Problem #1: Claim Loss
With a high throughput client, claims can routinely get “stuck” in the system—never reaching the clearinghouse or payer, and often going unnoticed by staff due to the lab’s massive daily volume. Our team quickly identified that the client’s billing system was not flagging these stagnant claims resulting in idle for weeks—or longer.
Asking the RCM vendor to review its software or address tickets can be daunting and although Wuscott pointed the client towards doing so, Wuscott also deployed an automative resubmission process for this problem. The bot continuously monitors all claims and identifies any that show no acknowledgment activity after 14 days. It then automatically resubmits those claims—without staff intervention—ensuring nothing gets lost in the shuffle.
The Outcome
Between March 1 and July 1, 2025, Wuscott’s bot resubmitted 37,351 claims. Of those, 9,473 resulted in successful payments, generating $541,935 in recovered revenue. The client averages payment after 30 days, so we anticipate many more of these will generate revenue, but for now the numbers associated with an automated process were welcomed by the client:
• $14.51 recovered per resubmission
• $57.21 per successfully paid accession
• Fully automated, zero staff time required
Problem #2: Stagnant Claims or Missing Information
In the lab industry, insurance information is often incomplete or inaccurate by the time it reaches the billing system—especially for high-volume, ancillary labs that don't collect data at the point of care. This results in tens of thousands of unbilled or denied claims, quietly draining revenue potential.
Wuscott's Approach
Wuscott designed a hybrid automation approach combining robotic process automation (RPA) with strategic manual oversight. The bot scans accessions missing valid insurance data, cross-references from previous paid claims, multiple external websites and databases, then applies logic to identify the most likely insurance and correct bad or missing information. For edge cases, manual intervention fills the gap—turning “unbillable” into paid.
The Outcome
Between March 1 and July 1, 2025, Wuscott’s insurance-correction automation fixed 41,747 accessions, leading to 6,124 paid claims and $486,568 in recovered revenue.
• $7.88 per accession corrected
• $79.45 per successful payment
• Hybrid automation reduces denials and boosts clean claim rates
Problem #3 – Accounts Receivable
With more than $100 million in aging accounts receivable—and tens of thousands of accessions over 60 days old—the client was sitting on a massive backlog of unpaid claims. Many dated as far back as January 2024, long forgotten or assumed uncollectable. This was a situation that demanded both expert human oversight and intelligent automation.
Wuscott's Approach
Wuscott designed a dual-path recovery strategy. Wuscott experts reviewed data identifying thousands of claims eligible for resubmission, correction, or appeal. Wuscott then designed several bots to address claims that missed modifiers and incorrect diagnosis. In parallel, Wuscott experts reviewed claims requiring nuanced action—missing information or denials that required payer-specific appeals.
Key workflows included:
• Intelligent appeal generation
• Automated corrections for medical necessity and bundling edits
• Manual rejection handling
The Outcome
From March 1 to July 1, 2025, Wuscott revived 60,490 claims. Of those, 17,137 were successfully paid, recovering $2,352,982 in long-overdue revenue.
• $38.89 per claim worked
• $137.33 per paid claim
• Historic AR recovery without disrupting the client’s internal teams
Conclusion
Wuscott was engaged by a large diagnostic lab facing widespread revenue leakage across its revenue cycle operations. With over 7,000 accessions per day and $100M+ in aging A/R, the lab had strong test volume but weak collections—falling nearly 35% below projections.
Wuscott deployed a blend of automation and expert oversight to address core RCM failures:
• Stagnant Claims: A bot monitored for unacknowledged claims and automatically resubmitted them—resulting in $541,935 in recovered revenue.
• Bad Insurance Info: Automation paired with manual review corrected 41,747 accessions, generating $486,568 in payments.
• Aged A/R: Combining bots and human experts, Wuscott worked 60,490 old claims and recovered $2,352,982 in revenue.
• Human + Bot Synergy: From coding fixes to payer-specific appeals, our dual-path strategy proved critical for long-tail recovery.
Total Value Delivered (Mar–Jul 2025): 169,777 claims touched → $3,381,485 in recovered revenue
Wuscott’s approach simply involves data analysis to identify gaps, automate wherever possible, intervene when necessary, and deliver measurable returns with minimal disruptions.