OneMedNet Revolutionizes Data Curation with AI, Boosting Efficiency up to 5X

Core Insights - OneMedNet Corporation has successfully integrated proprietary AI technology into its data curation process, enhancing the rapid and precise de-identification of patient data [1][2] - The integration of AI has significantly reduced operational costs and improved efficiency, allowing OneMedNet to process vast amounts of clinical data in minutes and deliver longitudinal clinical data and images to Life Science organizations up to five times faster than before [1][2] - OneMedNet's iRWD™ platform is recognized for managing diverse clinical data types, including electronic health records, laboratory results, and medical imaging, with AI enhancing the accuracy and speed of delivering regulatory-grade datasets [2][3] Company Overview - OneMedNet provides innovative solutions that unlock value from Real-World Data (RWD) repositories across over 1,400 healthcare system and provider sites within its iRWD™ network [3] - The company securely de-identifies, searches, and curates clinical data, offering research opportunities for drug, medical device, and imaging/diagnostic AI development customers [3] - OneMedNet's platform meets clinical requirements across various domains, including rare diseases, oncology, and cardiology, aiming to enhance patient outcomes and drive healthcare innovation [4]