How private healthcare data can predict diagnoses, unlock innovation

Private data sharing between healthcare organizations can facilitate rapid innovation and AI development using previously inaccessible data. However, barriers including high costs, compliance, and competition between healthcare systems hinder data sharing. Tripleblind’s Blind Learning technology allows private datasets to be used for model training while maintaining privacy. Access to diverse and larger datasets improves the accuracy of healthcare algorithms and enables sharing of previously difficult-to-share data for new diagnoses and treatments.