Automatic soap note generation using task decomposition

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 text transcript, the text transcript corresponding to an interaction between a first entity and a second entity;
• segmenting the text transcript into a plurality of portions;
• for each respective portion of the plurality of portions:
• using a first machine-learning model prompt to identify one or more entities included the respective portion,
• using a second machine-learning model prompt to extract one or more facts from the respective portion based at least in-part on the one or more entities, and
• adding the one or more facts to a collection of facts;
• using a plurality of third machine-learning model prompts to generate a set of note sections based at least in-part on the collection of facts, wherein each note section of the set of note sections corresponds to a section of a Subjective, Objective, Assessment and Plan (SOAP) note;
• generating the SOAP note by combining note sections of the set of note sections;
• and
• storing the SOAP note in a database associated with at least one of the first entity and the second entity.

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 text transcript, the text transcript corresponding to an interaction between a first entity and a second entity;
• segmenting the text transcript into a plurality of portions;
• for each respective portion of the plurality of portions:
• using a first machine-learning model prompt to identify one or more entities included the respective portion,
• using a second machine-learning model prompt to extract one or more facts from the respective portion based at least in-part on the one or more entities, and
• adding the one or more facts to a collection of facts;
• using a plurality of third machine-learning model prompts to generate a set of note sections based at least in-part on the collection of facts, wherein each note section of the set of note sections corresponds to a section of a Subjective, Objective, Assessment and Plan (SOAP) note;
• generating the SOAP note by combining note sections of the set of note sections;
• and
• storing the SOAP note in a database associated with at least one of the first entity and the second entity.