OneMedNet incorporates AI technology for faster data processing, enhancing operational efficiency and customer service.

From GlobeNewswire: 2024-08-09 13:40:00

OneMedNet Corporation has integrated AI technology into its data curation process, reducing operational costs and speeding up clinical data processing. The AI-driven de-identification process in the iRWD™ platform allows faster delivery of longitudinal clinical data and images to Life Science organizations. This innovation sets a new standard for healthcare data curation.

CEO Aaron Green emphasizes the importance of AI in enhancing data privacy and operational efficiency at OneMedNet. The integration of AI not only improves data de-identification but also accelerates response times to sales inquiries, boosting customer service and overall business performance. The company is now able to provide high-quality, de-identified datasets quickly to customers.

OneMedNet’s iRWD™ platform manages various clinical data types, including electronic health records and medical imaging, with added AI capabilities for accurate and rapid de-identification. The company is committed to delivering precise research support services across different domains like rare diseases, oncology, and cardiology. This commitment aims to enhance patient outcomes and drive healthcare innovation, setting a new standard for data curation.

OneMedNet Corporation provides innovative solutions for unlocking value from Real-World Data (RWD) repositories of over 1,400 healthcare system and provider sites. The company’s iRWD™ platform securely manages diverse clinical data types like electronic health records and medical imaging, delivering regulatory-grade, de-identified datasets to drug, medical device, and imaging AI development customers. The platform supports research opportunities across various healthcare domains.

OneMedNet advises caution regarding forward-looking statements, emphasizing the importance of evaluating various factors like market changes and competitive environment. Forward-looking statements are predictions based on expectations and projections but may not necessarily occur due to uncertainties and assumptions. The company is not obligated to update or revise forward-looking statements publicly, as actual events and results may differ from predictions.



Read more at GlobeNewswire: OneMedNet Revolutionizes Data Curation with AI, Boosting