Customer Case Study

Delivering Safer ML Training Data in Healthcare

Read this case study to learn how synthetic data is improving patient forecasting and quality of care for one of the nation's largest healthcare providers.

The Case Study

Download this case study to learn why a vast hospital network—with over 2,000 care sites—turned to Gretel’s synthetic data platform to deliver secure training data to power their AI initiatives and train machine learning models to improve patient care and hospital management without sacrificing patient privacy or data quality.

With Gretel’s synthetic data platform, this healthcare provider is able to access over 16 million records of synthetic patient data for labor and delivery patients to train their machine learning models to improve patient forecasting and hospital operations.