Systems and methods for artificial intelligence - driven clinical trial protocol data retrieval and augmentation

A system for artificial intelligence-driven clinical trial protocol data retrieval and augmentation, the system comprising:

• a computer having one or more processors in communication with a memory, the memory storing instructions executable by said one or more processors to perform:
• receiving a natural language user request via a user interface;
• combining the user request with contextual data to produce a prompt for a large language model;
• inputting the prompt to the model to produce a model response comprising a database query, in a database query language, and metadata;
• retrieving clinical trial protocol data from at least a first database based at least in part on the database query;
• generating one or more application programming interface (API) requests based at least in part on one or more of:
• the retrieved protocol data and the metadata;
• performing one or more API calls using the generated API requests to obtain one or more clinical trial metrics;
• generating a response to the user request based at least in part on the retrieved protocol data and the metrics;
• and
• outputting the response to the user interface.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computer, cause said one or more processors to perform a method for artificial intelligence-driven clinical trial protocol data retrieval and augmentation, the method comprising:

• combining the user request with contextual data to produce a prompt for a large language model;
• inputting the prompt to the model to produce a model response comprising a database query, in a database query language, and metadata;
• retrieving clinical trial protocol data from at least a first database based at least in part on the database query;
• generating one or more application programming interface (API) requests based at least in part on one or more of:
• the retrieved protocol data and the metadata;
• performing one or more API calls using the generated API requests to obtain one or more clinical trial metrics;
• generating a response to the user request based at least in part on the retrieved protocol data and the metrics;
• and
• outputting the response to the user interface.