Customer Spotlight: Intermountain Healthcare | MDClone
Intermountain Healthcare found that 70% of late-stage chronic kidney disease (CKD) patients were unaware of their disease and were "crashing into dialysis" - a costly, worst-case outcome. Using MDClone's ADAMS platform, clinicians could query large patient populations over extended timeframes to identify and engage patients at earlier CKD stages. The program identified $12M+ in opportunities and generated $7M+ in annual savings from improved cardiovascular care, and its success led Intermountain to expand the data-driven approach to diabetes, coronary artery disease, hyperlipidemia and opioid use in surgery, plus published research on antibiotic stewardship.
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.
Published by MDClone on its own site — read the original case study on mdclone.com ↗
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