- Scalable solution for big data analysis in Healthcare
The AEGLE platform offers a scalable solution for analysing big healthcare data, which includes the ability for users to pseudo-anonymize data conforming to EU regulations and the security measures, ensuring data analysis and storage on a secure cloud platform accessible only to users with the necessary access requirements. The platform can be offered with two user interfaces (UI). A research-oriented UI (R&D-UI) and a clinical decision support UI (CDS-UI). Both can be customized to the user’s needs. The platform has been developed for three scenarios, namely analysing next generation sequencing (NGS) and immunogenetics data, analysing monitoring data for Intensive Care Units (ICU) and analysing electronic health records (EHR) data for non-malignant chronic diseases such as diabetes.
For non-malignant chronic diseases, like diabetes mellitus type 2, AEGLE offers a research platform that allows clinical researchers, hospitals management and pharmaceutical organisations to analyse their own EHR data. The platform and analytics available in AEGLE platform offer users much more flexibility in deciding what to analyse and for which patient populations in the hospital to develop/use predictive analytics. The analytics included can facilitate research into pharmacovigilance, treatment response, and complications whilst the visualization tools such as heatmaps and population pyramids can be used for hypothesis generation, but also presentation of quality metrics.
Watch below the video recordings of the AEGLE Demonstration Webinar for (Clinical) Research on the Non-Malignant Chronic Diseases use case: