US 2026/0030438 A1 · AUTOMATIC SOAP NOTE GENERATION

Abstract

Techniques are disclosed for automatically generating Subjective, Objective, Assessment and Plan (SOAP) notes. In some implementations, a text transcript that is derived from an audio recording of an interaction between a first entity and a second entity is accessed. A first machine-learning model prompt can used to generate a labeled transcript that includes the text transcript labeled with label types corresponding to the first and second entities. A plurality of second machine-learning model prompts can be used to generate a set of note sections based on the labeled transcript. Each note section of the set of note sections corresponds to a section of a SOAP note that corresponds to the text transcript, and the SOAP note can be generated by combining note sections of the set of note sections. The SOAP note in a database that is associated with at least one of the first entity and the second entity.

Claims20

Dependent claims

A computer-implemented method comprising:

accessing a text transcript derived from an audio recording of an interaction between a first entity and a second entity;
using a first machine-learning model prompt to generate a labeled transcript comprising the text transcript labeled with a first label type corresponding to the first entity and a second label type corresponding to the second entity;
using a plurality of second machine-learning model prompts to generate a set of note sections based on the labeled transcript, wherein each note section of the set of note sections corresponds to a section of a Subjective, Objective, Assessment and Plan (SOAP) note corresponding to the text transcript;
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.

3 more elements

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 derived from an audio recording of an interaction between a first entity and a second entity;
using a first machine-learning model prompt to generate a labeled transcript comprising the text transcript labeled with a first label type corresponding to the first entity and a second label type corresponding to the second entity;
using a plurality of second machine-learning model prompts to generate a set of note sections based on the labeled transcript, wherein each note section of the set of note sections corresponds to a section of a Subjective, Objective, Assessment and Plan (SOAP) note corresponding to the text transcript;
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.

6 more elements

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 derived from an audio recording of an interaction between a first entity and a second entity;
using a first machine-learning model prompt to generate a labeled transcript comprising the text transcript labeled with a first label type corresponding to the first entity and a second label type corresponding to the second entity;
using a plurality of second machine-learning model prompts to generate a set of note sections based on the labeled transcript, wherein each note section of the set of note sections corresponds to a section of a Subjective, Objective, Assessment and Plan (SOAP) note corresponding to the text transcript;
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.

3 more elements

Dependencies are inferred from the claim text.

Automatic soap note generation

Life of this patent

Automatic soap note generation

Life of this patent

Abstract

Claims20