UNC-Chapel Hill and UNC Health, based in Chapel Hill, N.C., have launched a platform aimed at advancing artificial intelligence development using real-world clinical data.
The platform, called SHIRE — short for Secure Health Informatics Research Environment — is a cloud-based system designed to allow researchers to build and test AI models using EHR data from UNC Health. The initiative is a joint effort between the university and health system and is housed within UNC Health infrastructure.
SHIRE enables credentialed researchers across UNC-Chapel Hill, the UNC School of Medicine and UNC Health to access curated subsets of clinical data through a structured review process. The system is built with scalable cloud computing capabilities and privacy protections to support large-scale data analysis while ensuring security, according to an April 8 news release.
The platform was developed by the Informatics and Data Science team at NC TraCS, the university’s Clinical and Translational Science Award program. Early research supported by SHIRE includes work in precision oncology, rare disease identification and mental health.
SHIRE will be introduced publicly April 13 at UNC-Chapel Hill’s AI for Public Good Conference.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
