Case study
Reducing claim denials through better processing and intelligence.
Operating shift
Manual claim work and reactive denial follow-up
Structured processing with earlier issue review
Claims moved through slow manual steps. Teams saw denial causes after payment had already been delayed and spent valuable time repeating the same corrections.
The laboratory combined structured claim processing with earlier risk signals while keeping people responsible for exceptions and submission authority.
Routine claims moved through a structured path, likely denials could be reviewed earlier, and teams gained clearer visibility into recurring causes.
Leadership decision
Automation handled routine claims work. People kept authority over exceptions and submission.
Structured processing with earlier issue review
The constraint
Claims moved through slow manual steps. Teams saw denial causes after payment had already been delayed and spent valuable time repeating the same corrections.
The decision
The laboratory combined structured claim processing with earlier risk signals while keeping people responsible for exceptions and submission authority.
What followed
Routine claims moved through a structured path, likely denials could be reviewed earlier, and teams gained clearer visibility into recurring causes.
How the operation changed
One result. Three connected moves.
Find the repeatable causes.
Use historical claim and denial information to identify recurring breakdowns.
Create a controlled claim path.
Standardize checks, routing, and the information required before submission.
Focus people on exceptions.
Surface high-risk claims and preserve human authority for correction and release.
What leaders can carry forward
The result depended on the operating conditions around the technology.
- Prevent avoidable denials before automating more volume.
- Keep submission and exception authority explicit.
- Use denial insight to improve the upstream operation.
Related work
More operating change.
Client-service operations
Giving client teams real-time visibility into laboratory operations.
Operating systems were connected to give client teams a shared view of issues and priorities.Read the case study →
Laboratory inventory operations