Systems and methods for anonymizing private data for use in machine learning models

Described herein are techniques for performing a task using a trained external machine learning model. A user request comprising a task and one or more protected health information (PHI) parameters associated with a patient may be received. Using trained machine learning models, the PHI parameters may be extracted and a revised user request generated by replacing the PHI parameters with synthetic PHI parameters, which is then provided to the trained external machine learning model.