Methodology & QA Processes.
Thanks to our cutting-edge methodology and rigorous quality assurance processes, we are able to achieve high-quality results from our automated mapping and data structuring processes.
Dive inside our methodology.
Our models are trained
with hospital data.
Our Deep Learning system use real-world data for fine-tunning different domains, giving them sensitivity and adaptability to the way information is stored in the hospital environment.
Our methodology is translatable and expandable to new languages. By leveraging
cutting-edge transfer learning methods
, we can automate the incorporation of new languages without starting from scratch.
mechanisms for continuous improvement to keep models updated and performing optimally.
to find patterns.
IOMED's models use AI methods based on vector similarity search, to find related cases in the hospital and ensure all relevant information is considered. Our goal is not only to extract data correctly but also to make sure no important details are missed.
We have expert annotators (phisycians) who verify the results
automatically extracted by our system to obtain detailed quality metrics.
We apply statistical tests
to validate the consistency and coherence of extracted data. Clinical and statistical evaluation of data is also performed by experts.
Refining Our Methodology
At IOMED, our methodology is the heart of our data activation technology and the foundation of our commitment to providing relevant and valuable data for the medical and scientific community. Our passion for excellence and innovation drives us to keep pushing forward and introducing new approaches that benefit society as a whole.