Fig. 6: An overview of the PRISM system pipeline.

The pipeline uses only unstructured notes to effectively match the patients to potential clinical trials. Patient notes are first filtered as per the defined rules and are then chunked using a contextual chunker (See Section “Chunking and retrieval module”). The chunks are then stored in a database. The trial criteria are ingested as plain text as extracted from clinicaltrial.gov and are converted into a graphical question representation using our trial composition module as described in Section Trial Composition Module and Fig. 7. This graph is then used to retrieve relevant snippets of information, and our proprietary fine-tuned language model calculates a score for the graph (See Section “Question-Answering Module”). We then also apply weights to that graph using our developed heuristics, which allow the pipeline to rank the trials accurately (See Section “scoring module”).