Infrastructure and data provisioning

To lay the foundations for an ICT infrastructure to support a platform for the development and implementation of precision medicine within the public healthcare sector is extensive work and this goal can be achieved only in collaboration with hospitals, academia and industry partners.

The sensitive nature and volume of data needed for Precision Medicine practice poses new challenges for IT infrastructure. Storage capacity, and processing and transmission speed requirements, are higher than what today’s standard environments can deliver. An architecture is also needed that can deliver real-time information and tools for advanced analytics such as machine learning and related techniques. Finally, the solution will need to comply fully with local, national and regional regulations for privacy and security, with cost-effectiveness. 

Bigmed approached this in two phases, first by using already established high performance infrastructure provided by the University of Oslo. Later by establishing a platform to simulate the real hospital ICT environment and demonstrate how the BigMed solutions can operate in the hospital environment in a near future.  

Alia Zaka

Ass. Project Manager BIGMED Project


+47 451 82 212

Send email

Relevant Projects

Boy - with simplified mesh of his face illustrated.

Big data management for the precise treatment of three patient groups

This report is produced as part of the BigMed project to document and distribute knowledge accumulated in the first phase of the project, identifying the challenges and obstacles the project aims to address.
Digital Dynamic Consent

Digital Dynamic Consent

Today's modern and dynamic citizen, within the normal age range of 18-70, would see a paper-based consent as old-fashioned. At the same time these persons would by all chance at any time carry their smartphone, a device that today is
Infrastructure platform for South-East Regional Hospital Trusts

Infrastructure platform for South-East Regional Hospital Trusts

In this particular project, we are aiming to build a pre-clinial in silico lab to support research and innovation projects within precision medicine. It will serve as a test bed for development of prototype research and development

Pipeline for Extraction and Anonymization of Data from EHRs

Pipeline for Extraction and Anonymization of Data from EHRs

I dag er det er mange forskere som behøver hurtig tilgang til automatiske og oppdaterte uttrekk av pasientdata fra journalsystemer for å bearbeide og analysere data, samt bruke de til forskning og utvikling av diverse støttesystemer for

Illustrating scans of the urinary tract


Prospective Trial for Examining Hematuria using Computed Tomography (PROTEHCT) is a prospective clinical trial at Oslo University Hospital, Aker. Division of Radiology and Nuclear medicine. The primary objective is to evaluate whether