‍IOMED's advanced Data Space Platform, driven by AI, distinguishes itself with the ability to structure and standardize large volumes of medical data from diverse sources and formats swiftly and accurately. This facilitates researchers' access to essential real-world data (RWD) for their analyses, dramatically reducing time and costs associated with clinical trials, and accelerating the development of innovative treatments.

Natural language processing (NLP) plays a crucial role in the platform's capability to transform free-text clinical notes into OMOP format. This fundamental transformation enhances the quality and accuracy of research outcomes, ensuring data usability and applicability in advanced clinical and therapeutic studies.

‍

‍

The availability of this deep RWD enables the generation of real-world evidence (RWE) at every stage of drug development, providing valuable insights for clinical and strategic decision-making.

At IOMED, our commitment to the forefront of clinical research is manifested in the integration of advanced AI technologies, resulting in more effective and efficient clinical trials and superior outcomes for patients.

‍