Case Study: Sheba Medical Center | MDClone

Sheba Medical Center - Israel's largest hospital, with 1,700 physicians and nearly 2,000 beds, and a Newsweek top-10 global hospital for five years running - faced privacy restrictions in 2017 that limited clinicians' and researchers' access to data for its ARC Innovation Center. Sheba partnered with MDClone that year, adopting the ADAMS platform to analyze and share data while maintaining privacy compliance. Chief Transformation Officer Dr. Eyal Zimlichman said MDClone's synthetic data "allows you to ask a question and get an answer within the same day," and that resulting research output "can double or triple"; the partnership enabled comparative real-vs-synthetic data studies, a data lake spanning five observational studies, and analysis of ischemic stroke patterns.

MDClone is a healthcare synthetic-data platform that converts real EHR data into privacy-safe synthetic datasets for self-service research and analytics.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.