| CPC G16H 50/20 (2018.01) [G06F 16/3344 (2019.01); G06F 40/279 (2020.01); G10L 15/00 (2013.01); G10L 15/005 (2013.01); G10L 15/08 (2013.01); G16H 10/60 (2018.01); G16H 40/63 (2018.01); G16H 50/70 (2018.01); G10L 2015/088 (2013.01); G10L 17/00 (2013.01)] | 20 Claims | 

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               1. A machine learning based method for automatically processing a note based on a conversation between a patient and a healthcare provider, comprising: 
            automatically recognizing, in a transcript of an audio recording of the conversation, words or phrases spoken by the patient, wherein the words or phrases relate to one or more medical topics relating to the patient; 
                generating a billing code associated with a given medical topic of the one or more medical topics, wherein the billing code is based on the automatically recognized words or phrases; 
                generating the note in substantial real time with a rendering of the audio recording, and populating the note with the automatically recognized words or phrases, wherein the generating of the note comprises applying a machine learning model to generate at least a portion of the note in prose; and 
                displaying, by a computing device, the billing code alongside a portion of the note that includes the automatically recognized words or phrases. 
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