What challenge do manual coding processes often face?

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Manual coding processes often struggle with lower accuracy in coding due to the potential for human error in the data entry and coding process. Human coders may misinterpret clinical documentation, overlook essential details, or make mistakes during the coding process, which can lead to improper billing, claim denials, and compliance issues. The reliance on manual input can also result in inconsistency in how codes are applied, making the process less reliable overall.

In contrast, automated coding systems, which utilize artificial intelligence and machine learning, can analyze vast amounts of data with precision, significantly improving accuracy and consistency. This highlights why the challenge of accuracy is particularly pronounced in manual coding environments.

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