Case Study: Wadhwani Institute for Artificial Intelligence achieves accurate COVID-19 patient matching with WinPure

Wadhwani Institute for Artificial Intelligence unifies patient records across 3 datasets with WinPure

The Wadhwani Institute for Artificial Intelligence, a not-for-profit research institute, faced a challenge in its COVID-19 cough tracker project. They needed to accurately link three separate datasets—patient registrations, cough sounds, and test results—collected across India. The challenge was to perform this patient matching despite spelling errors and missing information, all while keeping the sensitive health data securely on-premise. They turned to WinPure's data matching software for a solution.

WinPure provided a fast, accurate, and automated on-premise data matching process. After testing several tools, the institute selected WinPure for its superior speed, simplicity, and matching results. The solution successfully linked the disparate patient data, creating a single source of truth. This enabled the institute to correctly identify patients for its groundbreaking triage technology, ultimately helping to better direct testing resources during the pandemic.

Wadhwani Institute for Artificial Intelligence