All clinical data consolidated, harmonized and curated into a single platform.

Networked and harmonized clinical data.

From data sylos to an integrated data ecosystem.

The data is fragmented in dozens of systems that are not connected.

Build a large database of structured and unstructured data that is networked and harmonized.

Patient Finder

Find more patients and access better studies and clinical trials.

IT services will be able to extract cohorts for participation in RWE multi- centre studies in just a few minutes.

Data Management

Depth of analysis for decision making by considering all layers of data, including free text.

Our Health Data Lake integrates

an end-to-end methodology of clinical data management.

Ranging from data ingestion, quality control, data enrichment and correlation, and data conversion to clinical standards such as OMOP or FHIR, to advanced dashboards and analytics or pattern recognition.

Interoperability Standards

Connect with research networks DARWIN, OHDSI, EHDEN.

Clinical Data Layers:

Hospital:

  • Clinical Notes and Claims.
  • ICD codes.
  • Laboratory.
  • Imaging.
  • Radiology.
  • Systems Biology (OMICS).

Patients:

  • Clinical Notes and Claims.
  • ICD codes.
  • Laboratory.
  • Imaging.

Analysis & Visualization.

Advanced 

Data Analytics.

Dedicated clinical 

applications.

Bussines 

Intelligence.

Queries & Datasets Download.

 

Advanced 

Data Analytics.

Dedicated clinical 

applications.

Bussines 

Intelligence.

Queries & Datasets Download.

 

A KAM will contact you to schedule a HDLake demo:

Complete the info, and a KAM will contact you ASAP:

Want to use it?:

Start with your proposed AI + RWE use case:

This is the first step for AI + RWE: