Our workflow begins with decompressing raw files and storing them as delta tables, followed by the application of John Snow Labs’ medical NLP libraries to deidentify Personally Identifiable Information (PII). The resulting data is then made available for research purposes and shared with Intermountain’s research subsidiaries. Next, we employ medical text summarization models to create synopses of the notes.

The process reduces review time from 10 minutes to 3 minutes per document. Finally, we utilize Generative AI applications for seamless querying of the database using natural language, facilitating a more intuitive and user-friendly interaction with the wealth of information stored within the clinical documents. This integrated approach not only enhances the efficiency of research initiatives but also contributes to the overall improvement of healthcare outcomes.