video1.0<iframe src="https://www.loom.com/embed/5e3949289423446a87004006381c31bd" frameborder="0" width="1668" height="1251" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12511668Loomhttps://www.loom.com12511668https://cdn.loom.com/sessions/thumbnails/5e3949289423446a87004006381c31bd-e9d4d3285a08e04c.gif251.629This Loom explains how to generate synthetic healthcare claims and provider data to avoid delays caused by legal and compliance reviews. The speaker describes using an AI-based application called Cynthia, where a data scientist requests synthetic data in plain language, such as 10 minutes of Texas claims records, and the system reads the schema to create member, claim, and provider datasets. The output includes a privacy score and downloadable records, and the app can also generate up to 100,000 records in minutes using an uploaded sample file and schema. A demo example shows 5,000 generated claims records.