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Missing Charges

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Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer.

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