Context aware chunking for automatic soap note generation

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 plurality of entities;
• segmenting the text transcript into a plurality of portions;
• for each respective portion of the plurality of portions:
• identifying, using one or more machine-learning models, one or more entities included in the respective portion,
• extracting, using the one or more machine-learning models, one or more facts from the respective portion based at least in-part on the one or more entities and context information of the respective portion, the context information comprising information included in one or more other portions of the plurality of portions, and
• adding the one or more facts to a collection of facts;
• generating, using the one or more machine-learning models, a Subjective, Objective, Assessment and Plan (SOAP) note based at least in-part on a set of facts derived from the collection of facts;
• and
• storing the SOAP note in a database associated with at least one entity of the plurality of entities.

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 plurality of entities;
• segmenting the text transcript into a plurality of portions;
• for each respective portion of the plurality of portions:
• identifying, using one or more machine-learning models, one or more entities included in the respective portion,
• extracting, using the one or more machine-learning models, one or more facts from the respective portion based at least in-part on the one or more entities and context information of the respective portion, the context information comprising information included in one or more other portions of the plurality of portions, and
• adding the one or more facts to a collection of facts;
• generating, using the one or more machine-learning models, a Subjective, Objective, Assessment and Plan (SOAP) note based at least in-part on a set of facts derived from the collection of facts;
• and
• storing the SOAP note in a database associated with at least one entity of the plurality of entities.