Notation assistant system for providing feedback on a clinical narrative note

A notation assistant system, comprising:

• a machine learning system configured to train a clarity classification model to assess a clarity of a received clinical narrative note, wherein the clarity classification model is trained on a plurality of clear clinical narrative notes and a plurality of unclear narrative notes;
• a notation processing system configured to perform natural language processing of the received clinical narrative note input into a notation assistant interface to extract information, wherein the received clinical narrative note comprises a sentence comprising a subjective judgement;
• a scoring system configured to input the extracted information into the classification model to produce a clarity score;
• and
• a suggestion system configured to generate a clarity suggestion for modifying the clinical narrative note to improve the clarity score by identifying the sentence comprising a subjective judgement, and suggesting a replacement sentence to replace the sentence comprising the subjective judgement.

A computer-implemented method for providing real-time feedback on a clinical narrative note, comprising a processing device and a memory comprising instructions which are executed by the processor, the method comprising:

• training an ambiguity classifier, based on a plurality of clear narrative notes and a plurality of unclear narrative notes, to assess a clarity of textual data of a received clinical narrative note;
• training a completion classifier, based on a plurality of complete narrative notes and a plurality of incomplete narrative notes, to assess the completion of a received clinical narrative note;
• receiving the textual data of the received clinical narrative note from an end-user device through a notation assistant interface as it is being entered by a user, wherein the textual data of the received clinical narrative note comprises a sentence comprising a subjective judgement;
• processing the received clinical narrative note to extract information related to the health of a patient;
• scoring the received clinical narrative note using the ambiguity classifier to produce a clarity score;
• scoring the received clinical narrative note using the completion classifier to produce a completion score;
• and
• providing a clarity suggestion to the end-user device for displaying to the user through the notation assistant interface while the user is entering the clinical narrative note, wherein providing a clarity suggestion comprises:
• identifying the sentence comprising a subjective judgement, and
• suggesting a replacement sentence to replace the sentence comprising the subjective judgement;
• and
• providing the clarity score, the clarity suggestion, and the completion score to the end-user device for displaying to a user through the notation assistant interface;
• receiving more textual data as the user continues to enter the received clinical narrative note;
• repeating the processing and scoring steps on the more textual data;
• and
• updating the notation assistant interface to display an updated clarity score and an updated completion score based on the updated clinical narrative note.