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"The value of imaging data is beginning to be recognized for its high clinical utility and value in the end-to-end evidence management process.
The really hard part comes next:
how to access, deidentify, aggregate, govern, normalize and combine these complex data sets with other forms of data
so it can be put to work to improve research and help patients receive better care."
It processes new incoming imaging and clinical information to feed and enrich an index (Indexa™). Enrichment examples are the extraction of diagnoses via Natural Language Processing of radiology reports, an organ recognition algorithm applied to images, or extraction of radiomics features.
It automates the preparation of de-identified datasets, from the cohort constitution through unique data mining capabilities, combining imaging and clinical features, to patient information, to data extraction, and to de-identification according to project-specific rules.
Imaging Data is an essential component Of Real-World Data.
We have developed the unique ability to extract complex homogeneous regulatory-grade datasets composed of clinical data, images, biology and genomics. We can access all available data from patient records, in compliance with GDPR.
Enabling secondary use of medical data by researchers is crucial to improve the quality of care and accelerate research.
We have set up a technical and contractual framework, supervised by our Data Protection Officer, to securely handle the constitution of any database with organizational and technical safeguards, and without having access at any time to data identifying the data subjects.
Our proven ETL (extract, transform, load) solution is already deployed in our network of European hospitals. It connects to the HIS, PACS and other hospital data sources. It allows us to select, extract, de-identify, enrich and route large amounts of data quickly.
This European cloud collaborative platform aims to consolidate, organize, structure and enrich imaging and contextual Real-World Data to generate regulatory-grade evidence.
The platform is interoperable with other platforms and automates federation and intermediation. It ambitions to be an industrialized platform for private / public collaboration for research.
Our expanding network of European academic hospitals is built through major H2020 research projects, commercial data deals and software deals.
We are developing a network of international Data partners, providing us with access to data in geographies where we are on our way (US, Asia) and enabling us to serve global data requests.
We have established a growing network of scale-up partners, such as HIS and PACS providers, with global or local reach, and for whom our technology represents an add-on they can offer to their installed base.
