Automated soap note evaluation using machine learning models

A system comprising:

• one or more processing systems;
• and
• one or more computer-readable media storing instructions which, when executed by the one or more processing systems, cause the system to perform operations comprising:
• accessing a Subjective, Objective, Assessment and Plan (SOAP) note and a checklist that includes checklist facts;
• using a first machine-learning model prompt to extract SOAP note facts from the SOAP note;
• using one or more second machine-learning model prompts to generate feedback for the SOAP note, the feedback indicating whether individual checklist facts are supported by at least one SOAP note fact, and whether individual SOAP note facts are supported by at least one fact in the checklist facts;
• and
• generating a score for the SOAP note based on the feedback.

One or more non-transitory computer-readable media storing instructions which, when executed by one or more processors, cause a system to perform operations comprising:

• accessing a Subjective, Objective, Assessment and Plan (SOAP) note and a checklist that includes checklist facts;
• using a first machine-learning model prompt to extract SOAP note facts from the SOAP note;
• using a one or more second machine-learning model prompts to generate feedback for the SOAP note, the feedback indicating whether individual checklist facts are supported by at least one SOAP note fact, and whether individual SOAP note facts are supported by at least one checklist fact;
• and
• generating a score for the SOAP note based on the feedback.