Turning Straw into Gold: Building Patient Journeys from Raw Medical Data

Data integration has been an enormous challenge in healthcare for decades. This session shows how recent advances across the AI ecosystem combine into a game changer: A solution that automatically converts large amounts of raw, multi-format, multi-modal, untrusted medical data into coherent longitudinal patient stories in an industry-standard format. This talk shows this John Snow Labs solution in action, including:

1. Building a unified view of each patient over time.

2. Building this unified patient view from multi-modal source data.

3. Reasoning at the patient level.

4. Predict risk scores and calculating clinical measures. 

5. Explaining results with full traceability.

6. Building patient cohorts with natural language queries.