Abstract: Computerized systems and methods facilitate electronic medical insurance transactions by using a predictive model to predict errors prior to transmitting submissions to clearinghouses and/or insurance companies. A predictive model may be built using historical electronic medical insurance transaction data, which may include information from previous submissions and the responses (i.e., successful or error). The predictive model may be used to check submissions for electronic medical insurance transactions prior to transmitting the submissions to clearinghouses and/or insurance companies. As such, if an error response is predicted for a submission, an indication may be provided to a user entering the submission such that the user may make corrections and improve the likelihood of receiving a successful response for the electronic medical insurance transaction.