Strategic content reduction to facilitate communication efficiency

A system comprising:

• one or more data processors;
• and
• the one or more non-transitory computer readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
• receiving a request comprising identifiers corresponding to a subject via an interface associated with a user;
• accessing, in response to the request, one or more unstructured portions corresponding to the subject via an application programmable interface (API) from an electronic health record, wherein the one or more unstructured portions are in binary format;
• filtering, via the API, the one or more unstructured portions into filtered data based on a set of filtering criteria;
• transforming the filtered data into a long record data that is semi-structured;
• processing the long record data into a text-based format;
• transforming the text-based format into a structured output in a natural language format using one or more generative artificial intelligence (GenAI) models, wherein the transformation includes:
• generating a prompt in the natural language format based on the text-based format;
• extracting, in response to the prompt, one or more data elements from the text-based format;
• and
• processing the one or more data elements into the structured output based on a set of transformation criteria that defines a format of the structured output;
• and
• outputting a result corresponding to the structured output via the interface associated with the user.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to perform operations including:

• receiving a request comprising identifiers corresponding to a subject via an interface associated with a user;
• accessing, in response to the request, one or more unstructured portions corresponding to the subject via an application programmable interface (API) from an electronic health record, wherein the one or more unstructured portions are in binary format;
• filtering, via the API, the one or more unstructured portions into filtered data based on a set of filtering criteria;
• transforming the filtered data into a long record data that is semi-structured;
• processing the long record data into a text-based format;
• transforming the text-based format into a structured output in a natural language format using one or more generative artificial intelligence (GenAI) models, wherein the transformation includes:
• generating a prompt in the natural language format based on the text-based format;
• extracting, in response to the prompt, one or more data elements from the text-based format;
• and
• processing the one or more data elements into the structured output based on a set of transformation criteria that defines a format of the structured output;
• and
• outputting a result corresponding to the structured output via the interface associated with the user.