You are missing data that is needed in order to bill the patient's insurance.
What is Missing Data?
Missing data, commonly referred to as missing values, happens when the variable in an observation has no data value recorded. Missing data is a common occurrence and can have a substantial impact on the inferences that can be drawn from the data. The absence of information for one or more components, or for the entire unit, might lead to missing data ("subject"). Private questions, such as those involving money, are among those that have a higher than average chance of receiving no response. Attrition is a type of missingness that may occur in longitudinal studies, such as those looking at development when a measurement is repeated after a specific period of time. When test participants depart before the test is finished, one or more metrics are missing.
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