Bill Sample / December 9, 2018 / Hattie Salas
But we basically searched until we found a sample very simple contract and modified it for our use. For several years we told ourselves that it was fine and if it wasnt working out for the provider then it wasnt working for us either and we should move on and find new clients. It took us a long time to realize that in several situations our simple contract was actually the reason things were not working out. When you first start your medical billing business you have no idea of the things that can go wrong in a relationship with your clients so you do not know what needs to be included in a contract. Our first contract did not even specify the responsibilities of either the provider or ourselves. It is amazing we were able to find providers willing to sign our contract.
Days in Accounts Receivable (DAR) A growing number of days in accounts receivable are symptomatic of a faulty billing process. One way to determine DAR is to count days from the date of service to the date of payment for every claim and then average across all claims. A simpler way to compute average number of days in accounts receivable by taking a ratio of accounts receivable to average daily charges or Number of days in accounts receivable = (Accounts Receivable / Average Charge) x 365 This metric too depends on medical specialty patient demographics payer mix and CPT sample. Another downside is that this metric is sensitive to provider as it counts the lag time of unsubmitted claims for services already delivered.
Followup may take the form of a phone call to payer to discover a lost claim or to receive interpretation of denial message correction of earlier submitted data resubmission of the original claim consultation with the provider and medical notes or denial appeal. Both FPP and Denial rates are very important metrics often used for billing process improvement. The upside of FPP/Denial metric is that it is charge-invariant but its downside is that it hides the differences between process imperfections on the claim submission and claim payment sides. To identify patterns of problem CPT codes or payers FPP/Denial metric needs to be computed and compared across all pairs of payer-CPT code which is a standard feature for modern billing technologies.