System and method for medical data governance using large language models

A method of using large language models to process medical data comprising:

• receiving a user input including at least one search query to retrieve first medical data from one or more medical data governance (MDG) databases;
• applying one or more large language models (LLMs) on the received at least one search query, wherein the one or more LLMs are pre-trained models;
• determining metadata associated with the at least one search query based on the application of the one or more LLMs on the received search query;
• querying a first MDG database of the one or more MDG databases based on the determined metadata to retrieve the first medical data;
• and,
• extracting, from the first MDG database, raw data associated with the determined metadata based on the querying the first MDG database;
• generating one or more constructs associated with the one or more LLMs to be applied on the extracted raw data, wherein the one or more constructs are associated with the determined metadata;
• retrieving the first medical data based on the application of the generated one or more constructs on the extracted raw data;
• and
• outputting the retrieved first medical data.

A non-transitory computer-readable medium including computer program instructions, which when executed by a system, cause the system to perform one or more operations comprising:

• receiving a user input including at least one search query to retrieve first medical data from one or more medical data governance (MDG) databases;
• applying one or more large language models (LLMs) on the received at least one search query, wherein the one or more LLMs are pre-trained models;
• determining metadata associated with the at least one search query based on the application of the one or more LLMs on the received search query;
• querying a first MDG database of the one or more MDG databases based on the determined metadata to retrieve the first medical data;
• extracting, from the first MDG database, raw data associated with the determined metadata based on the querying the first MDG database;
• generating one or more constructs associated with the one or more LLMs to be applied on the extracted raw data, wherein the one or more constructs are associated with the determined metadata;
• retrieving the first medical data based on the application of the generated one or more constructs on the extracted raw data;
• and
• outputting the retrieved first medical data.