Case Study 01
Where Lab Claims Leak: Front-End Automation for a High-Volume Diagnostics Laboratory
Four stages where a laboratory claim leaks, and what it took to close each one without tripling the billing team.
Client Profile
A nationally traded cancer diagnostics laboratory, keying patient orders by hand at a volume its billing team could not sustain.
The Challenge
The client entered a period of rapid growth. Clinical test volumes surged quarter over quarter. While the business was thriving, billing and Revenue Cycle Management were under severe strain.
Leadership determined that keeping pace would require a substantial increase in RCM staffing, which was neither cost-effective nor sustainable. But the strain wasn't evenly distributed across the cycle. Most of it sat at the front end.
Orders arrived as documents and were keyed by hand. Coverage problems surfaced only after a payer rejected the claim. New payer plans were mapped one at a time. And a steady share of accounts sat waiting not on a payer, but on missing information from the ordering client. Every one of those is a front-end problem that the billing team inherits downstream.
What We Did
CercaLabs worked directly with executive and departmental leadership to map the end-to-end revenue cycle, then automated it stage by stage, standardizing each workflow before replacing any part of it.
Stage 01: Intake
Verify, don't key
Incoming patient documents are analyzed automatically and the relevant data extracted, including patient, guarantor, and payer information, before anyone touches a keyboard. A purpose-built interface presents what was found so the data entry team reviews and confirms rather than transcribes.
The extracted data then flows directly into order entry in the billing system, carrying every field that would otherwise have been typed. Key time drops, and so does the category of error that only shows up weeks later as a denial.
Stage 02: Eligibility
Catch coverage problems before the payer does
Eligibility errors are surfaced to the billing team as work to be resolved, not as a report to be read. Claims can be corrected before they are ever sent to the payer.
Corrections are made in the source system before the data reaches billing, so the fix holds instead of being reapplied every time the record moves. Fewer errors go out, and fewer come back.
Stage 03: Submission
Keep payer configuration current automatically
When a payer introduces a new plan identifier, the corresponding home plan information is retrieved automatically and mapped to the right payer name and code in the billing system. The team receives a weekly report of what changed rather than discovering the gap through a rejection.
Supporting documentation is checked at the same stage: retrieved patient documents are analyzed to confirm whether the required medical records are present, and that status is written back against the account so the team knows what is ready to support a claim or an appeal.
Stage 04: Follow-up
Bring the answer back to the team
Claim response and rejection information is collected from the clearinghouse and written back into the billing system, so staff open a claim that already tells them what happened instead of going out to find it. Time that went into hunting for status goes into working the account.
Accounts held for missing information are handled the same way: the gap is identified, the record updated, and a request sent back to the ordering client automatically, closing a loop that had been entirely manual and was frequently the slowest step in the cycle.
Underneath all four stages, workflows were standardized first, eliminating reliance on individual expertise, cutting onboarding time for new staff, and giving leadership real-time visibility into throughput and exception handling.
Results
The impact showed up across the whole front end of the revenue cycle:
300%
Increase in individual RCM processing capacity, eliminating the need for planned new hires
150,000+
Transactions processed automatically per month, previously handled manually
40%
Reduction in claim denials
70%
Improvement in claims appeal success rate
- Significant reduction in new-staffing and operational costs
- Improved accuracy and consistency across billing workflows
- Faster revenue recognition and improved cash flow
- Shorter ramp-up for new staff, with workflows documented rather than learned by proximity
RCM staff were freed from navigating dozens of systems and payer portals, allowing them to focus on high-value exception handling and complex cases while automation reliably handled repetitive work.
Now in its eighth year, the program continues to scale alongside the organization’s growth. What began as a response to growth pressure evolved into a core operational advantage.
Why it Matters
A large share of laboratory denials never originate in the billing department. They start at intake: a field keyed wrong, coverage that was already stale, documentation the payer was always going to ask for. By the time the denial arrives, the mistake is weeks old.
That is why the work here was sequenced front to back rather than starting where the pain was loudest. Every stage closed upstream reduces the volume of work every stage below it has to absorb.
Automation didn’t replace the team. It empowered it.
For the denials that do get through, see how the appeals workflow was productized into a repeatable framework in Case Study 4.
Lets start a conversation
If your billing team is absorbing errors that were introduced somewhere upstream, we’d be glad to connect.
Book a 30-minute callCercaLabs Inc.
333 City Blvd W.
3rd Floor
Orange, CA 92868