Real-life studies accelerated thanks to the extraction of structured data in medical databases
Real-life studies play a crucial role in evaluating medical treatments and enable a better understanding of their efficacy and long-term effects. However, these studies are often expensive and time-consuming, which limits their feasibility. Our dedicated solutions and support enable the automation of many data collection and analysis tasks, which significantly reduce the efforts and costs associated, with controlled precision
1.Taking into account the study objectives
We adapt the models used to the objectives of your study (in terms of entity to extract and expected level of precision). Our language models are retrained on the most relevant annotated datasets for your study. For certain entities, manual annotation of the datasets will be necessary (for around 10% of the study's data volume)
2. The ability to analyse 100% of CRF and medical CR of DMP
The language analysis technologies we develop enable us to analyse in bulk thousands of reports. The precision achieved varies depending on the entities to extract, it is generally in the order of 85% to 95% before specific retraining and 90% to 99% after retraining adapted to your study
3. Investigations can be supported by our PraxyConsultation tool
In the event of patient calls to conduct investigations, our PraxyConsultation solution for interview summary and structured data extraction can also be mobilised to gain time and precision See PraxyConsultation . These data are of course reviewed and validated by the investigator
Solution HDS Saas or on premise
Payment per use and result
depending on the volume of medical reports analysed and useful entities for your study that will be extracted
Controlled precision
We evaluate the precision of each entity to extract before and after retraining our models. The thresholds are adapted to the challenges of your study
Scalability and speed
The solution is quickly deployed to process thousands of reports or databases