How to compare claim-follow-up partners
Most claim-follow-up proposals become difficult to compare at exactly the point they are supposed to become concrete. Each partner describes a different process, reports a different measure of completion, and draws a different boundary around the work that remains with your team.
One proposal emphasizes touches. Another emphasizes closed tasks. A third emphasizes recovered dollars. All three numbers may be accurate, and none may tell you which returned work your operators can actually use.
A useful comparison begins one level below the sales language. Define the work, inspect the result, and make the retained effort visible. The goal is not to identify the partner with the most impressive activity. It is to identify the operating arrangement your team can trust and sustain.
Begin with the same question for every partner
Give every candidate the same workflow question. For claim status, that question might be: can you establish the current adjudication state of this defined population and return enough context for our team to take the appropriate next action?
That is narrower than “improve collections,” but it is much easier to evaluate. Payment depends on more than a status inquiry. A useful result can still reveal why a claim is stalled, what information is missing, whether an action belongs to your team, or when another review is appropriate.
Write down what is in scope as well as what is not. Include the population, required inputs, expected result, timing convention, and responsibility for unresolved cases. If two partners are answering different questions, their prices and completion rates are not comparable.
Keep the first question small enough to inspect. A broad promise can hide weak handoffs because nobody can point to the moment at which the work became complete.
Ask to see the returned record before discussing scale
The most revealing sales artifact is not a dashboard. It is the record your team receives for one ordinary case.
Look for a clear status, the relevant date, the basis for the finding, any uncertainty, and a recommended next action. If something must happen outside the engagement, the record should say what it is and who owns it. A person receiving the work should not have to repeat the inquiry just to understand the conclusion.
Use a synthetic example during an early conversation. There is no reason to send protected health information merely to learn how a partner structures a result. Ask the partner to walk through an uncomplicated case, an incomplete case, and a case that could not be resolved as expected.
The ordinary case shows the standard. The incomplete case shows whether uncertainty is reported honestly. The difficult case shows what the relationship will feel like after the demo.
Count the effort that moves back to your team
Outsourced or automated work is not free of internal work. Your team may still prepare files, clarify inputs, review exceptions, correct records, make decisions outside scope, and transfer results into another system.
Those activities are not automatically a problem. They become a problem when the proposal treats them as though they do not exist.
For each partner, map the complete exchange:
- What must your team assemble before work begins?
- Which questions interrupt the batch after intake?
- What review is expected before a result can be used?
- Which cases return without an actionable conclusion?
- Which next actions remain with your staff?
- How are corrections requested, delivered, and counted?
Estimate effort using the people who would actually perform it. Ten minutes of analyst preparation and ten minutes of leadership review are not the same operational cost. The point is not to force every contribution into a perfect dollar figure. It is to prevent hidden work from disappearing from the comparison.
Keep exceptions visible
A partner should not be judged only by the cases that followed the expected path. Missing information, ambiguous responses, duplicate histories, unusual payer rules, and actions outside scope are part of the population your operation must manage.
Ask how each exception appears in the returned work. “Unable to complete” is not enough if your team must reconstruct the reason. A useful exception should preserve what was attempted, what prevented a conclusion, what information would change the outcome, and who should act next.
Then ask how exceptions affect reported completion. If they are removed from the denominator, reported performance can improve while the number of cases returning to your team stays the same. Report them separately if needed, but do not let them vanish.
The strongest comparison does not demand that every case resolve. It demands that every accepted case reconcile to a visible disposition.
Compare commercial terms to the actual unit of value
Per-case pricing sounds comparable until “case” means something different in each proposal. One partner may charge for every accepted record, another for every inquiry, and another for a completed result. Rework, repeated inquiries, minimum volumes, and excluded cases may sit outside the headline price.
Tie the commercial model to the operational map. Ask what triggers a charge, what is included when the first attempt is incomplete, and how corrections are handled. Confirm whether pricing changes across workflow types or exception classes.
Then compare price with the result you defined at the beginning. A low unit price can be expensive if every returned case requires investigation. A higher unit price can still be poor value if it buys detail your team does not need. Neither conclusion can be reached from price alone.
The useful question is: what does it cost to receive a result that meets our acceptance criteria, including the work we retain?
Use a representative batch, not a showcase
Once the paper comparison is clear, test the operating assumptions on a bounded batch. Choose work that resembles the population you would actually send. Do not fill it entirely with clean, recent claims, and do not turn it into a collection of rare edge cases.
Keep the same acceptance criteria across candidates. Reconcile submitted, accepted, returned, open, and excluded cases. Review a sample deeply enough to see whether the record supports its conclusion. Track preparation, questions, review, correction, and remaining action.
A pilot does not need to prove a universal return on investment. It needs to reduce uncertainty about a specific working relationship. At the end, you should know what the partner reliably returns, where your team stays involved, and which conditions would have to remain true for the arrangement to expand.
Choose the clearest operating agreement
The best comparison often produces a less dramatic decision than a sales scorecard suggests. You may select one partner for one workflow, refine the scope and test again, or decide that the retained work is still too high.
Clarity is the useful outcome. A partner that defines completion narrowly, exposes exceptions, and shows the work left with your team may look less impressive in a headline number and be easier to operate with in practice.
Before deciding, ask your reviewers one final question: if the sales team disappeared tomorrow, would the written workflow, returned record, exception treatment, and commercial terms still tell us how this engagement works?
If the answer is yes, you are comparing an operating model rather than a promise.
Comparing a defined claim-follow-up workflow? Discuss the result and review process with Halcora. Describe the workflow in general terms; do not include patient information in the inquiry.
Related reading: How to run a one-batch claim-follow-up pilot and The record is part of the outcome.