OneMedNet (NASDAQ:ONMD) reported today that it has successfully integrated its proprietary AI technology into its data curation process, ensuring rapid and precise de-identification of patient data.
This innovation, coupled with other changes undertaken by the Company, has significantly reduced OneMedNet’s operational costs, enabling the company to process vast amounts of clinical data in minutes rather than hours. Additionally, OneMedNet can now deliver longitudinal clinical data and images to Life Science organizations up to five times faster than before, as measured from the end-to-end data curation process, significantly expediting delivery.
“The integration of AI into our de-identification processes not only enhances our data privacy but also significantly boosts our operational efficiency, allowing us to quickly provide high-quality, de-identified datasets to our customers,” stated OneMedNet’s CEO & President, Aaron Green. “Furthermore, AI has enabled us to respond to sales inquiries much faster, improving our customer service and overall business performance.”
OneMedNet’s AI-driven de-identification process is a critical component of the company’s iRWD platform, which is already recognized for its ability to manage diverse clinical data, including electronic health records, laboratory results, and medical imaging. With the added layer of AI, OneMedNet is setting a new standard for how healthcare data is curated, offering unparalleled accuracy and speed in delivering regulatory-grade, de-identified datasets to its customers.
