How to clear claim pends without adding examiners

What is a claim pend, and why does the TPA pend queue grow?

A pend is a claim the claims system holds because it cannot finalize the file with the information currently on hand. Pended claims sit in a waiting inventory until a person supplies or confirms the missing documentation. Common pend reasons include a missing itemized bill, missing records, an open coordination-of-benefits question, or a sudden eligibility change.

These claims pile up because examiners rarely resolve them independently without external outreach. The examiner traditionally owns the outbound request, the waiting period, the follow-up, and the final review. Consequently, claims examiner workload increases because highly trained staff spend their days doing clerical waiting instead of actual decision-making.

Why does hiring fail to clear claim pends without adding examiners?

Adding staff raises the operational cost of the queue without permanently solving the root problem. Every new examiner inherits the same manual chasing work, meaning the TPA pays senior-level wages for administrative follow-ups. Furthermore, human examiners are exceptionally hard to recruit and slow to train.

This hiring lag means new capacity usually arrives months after a backlog begins. Additionally, pend volume fluctuates based on provider billing changes or a new group's first plan year. A static workforce is overwhelmed during peak volumes and left idle during troughs, which ultimately ruins examiner productivity.

How does claims system automation resolve pended claims?

Software agents easily handle the parts of pend inventory work that involve gathering and organizing information. Daybook Health agents read the pend reason, identify missing data, and automatically request it from providers or other payers. Once the file is complete, the pend is marked ready for a human to review.

When considering what agents do on a claim and what people decide, automation takes over the repetitive clerical tasks. Agents never adjudicate, deny claims, or decide allowability.

A short list of automated agent capabilities includes:

• Reading the pend reason code and claim history to establish missing items.
• Sending requests for itemized bills or records to providers via fax or other accepted channels.
• Asking another carrier for a coordination-of-benefits determination.
• Following up at set intervals until the requested item arrives.
• Matching a returned itemized bill to claim lines and flagging discrepancies.
• Writing a dated note to the claims system detailing the exact outreach history.

How do human examiners stay in control of self-funded claims administration?

The examiner stays in complete control because the agent's output is merely a prepared file. Nothing moves to a paid or denied status until a human professional releases it. Every action the agent takes is recorded on the claim, allowing the examiner to see the full audit history before deciding.

Daybook Health ensures 100% of denial and medical-necessity decisions are made by the TPA's people. This strict division of labor keeps the TPA's quality program meaningful and compliant with stop-loss audits. It also demonstrates exactly how claims adjudication works alongside a TPA's existing system without replacing human expertise.

What is the cost difference between a staffed desk and AI agents?

A TPA should measure queue health by pend inventory, average pend age, and pends by reason. For instance, the itemized bill request on facility claims is often the longest-held pend reason. Daybook Health addresses this using usage-based pricing with no subscription fees or seat licenses.

A TPA pays only for processed claims, eliminating the overhead of idle staff during quiet months. Daybook's TPA work costs a fraction of the cost per claim of a staffed operation. Furthermore, nothing is offshored, which highlights the difference between an onshore team and an offshore one regarding data-handling exposure.

Operating Model Comparison