Reading insurer payment files Insurers send payment detail files (and paper explanations of benefits) through many networks and formats. The team ingests those files, turns them into structured payment records, and keeps each claim's status up to date as money comes in. This is the start of the pipeline — everything downstream depends on it being correct.
Matching payments to the right claims Each payment line has to be linked back to the claim we originally submitted. Payers often send incomplete or inconsistent identifiers, so we use scoring across many signals (patient info, policy numbers, providers, amounts) and test changes on historical data before they affect real money.
Recording payments on the books Once matched, payments are recorded on the correct visit using per-clinic rules — what to write off, what to shift to the patient, how contractual rates apply. Corrections use safe reverse-and-repost flows so history stays auditable. The books have to balance; "close enough" is not good enough.
Matching payments to the bank For many customers, we verify that insurer checks actually landed in the clinic's bank account — using live bank connections, standard bank files, and scanned deposit slips. Until the deposit is verified, automatic recording of payments can be held. This includes the messy long tail of check numbers and payer names that don't match cleanly.
Patient balances and collections After insurance pays, we calculate what the patient still owes and feed statements, the patient payment experience, credits, refunds, and collections. Balance logic has to keep up whenever posting or clinic rules change.
Financial reports clinics trust The payment and ledger work this team owns feeds the reports and dashboards clinics use to run the business. You will partner closely with our financial reporting team so that billing, recorded payments, patient balances, and reports stay in agreement — catching drift early rather than after a customer notices it.
Scale: Large volumes of visits and payment lines, background jobs and scheduled pipelines, rule engines with hundreds of clinic-specific conditions, and zero tolerance for balances that don't add up.