AnalytiXagility is used by world-leading organisations to bring together people, data and expertise: the Project Edition accelerates data collaboration for individual research teams, while the Ecosystem Edition powers the digital environment of leading research hospitals.
In early 2017, Great Ormond Street Hospital NHS Foundation Trust named Aridhia as preferred supplier for the research and innovation platform component of the Trust’s far-reaching clinical transformation programme.
At any time, there are approximately 500 research projects active at the Trust. AnalytiXagility Ecosystem Edition is set to become the core informatics platform used by the Trust’s researchers as it seeks to accelerate the clinical research process and increase the output of pioneering research.
Read the Great Ormond Street research and innovation platform announcement.
Following an extensive global procurement process, in mid-2016 Radboud University Nijmegen Medical Centre selected AnalytiXagility as their Digital Research Environment (DRE).
The AnalytiXagility-based DRE is now providing knowledge, services and solutions to fulfil Radboudumc’s research ICT needs. It allows researchers from multiple disciplines and therapy areas to rapidly import, merge, optimise, store, analyse, archive and share data from various sources to increase Radboudumc’s scientific efficiency, output and impact.
Read Aridhia’s Radboudumc digital research environment press release.
The EPAD, or European Prevention of Alzheimer’s Dementia collaboration, is a €64m Innovative Medicines Initiative funded project involving 36 EU partners across 6 study sites. The aim is to define an accurate set of criteria for identifying Alzheimer’s pathology early in the course of the disease in people with no or minimal associated symptoms, and to develop a research platform that efficiently enables the undertaking of adaptive, multi-arm proof of concept studies for early and accurate decisions on the ongoing development of novel interventions for disease prevention.
AnalytiXagility Project Edition underpins the project’s multi-centre longitudinal cohort study to improve the understanding of the disease’s early stages and progression, including identification of cohorts of patients at risk and the extraction and visualisation of longitudinal data.
CHART-ADAPT is an Innovate UK funded collaboration between Aridhia, NHS Greater Glasgow & Clyde, Philips Healthcare, and the University of Glasgow examining the use of big data technologies as a solution to advance research and treatments for patients suffering from traumatic brain injuries.
The CHART-ADAPT platform has been implemented, demonstrated and technically evaluated using live patient data at the Neurointensive care unit, Neurosciences Institute, Glasgow. By enabling clinically important physiological models and algorithms to be implemented more quickly into clinical practice, CHART-ADAPT has the potential to revolutionise the treatment of critical care patients.
Watch the CHART-ADAPT video to find out more about this ground-breaking project.
Securely accelerate research with built-in audit to support reproduciblity and traceability, and auto-publishing to research journal formats.
“The collaborative analytics platform should be a huge benefit for research…” Nick McNally, Chief Operating Officer, National Institute for Health Research University College London Hospitals Biomedical Research Centre
Take advantage of N3 connectivity and de-identification, ontology and dataset definition services to transform healthcare delivery.
“…We’re now able to asks questions of connected datasets…it’s giving us some fantastic insights into what’s happening with our patients.” Dr Kambiz Boomla, GP & Clinical Lead, Clinical Effectiveness Group
Understand the art of the possible and educate your teams with bespoke data challenge days, hackathon services and pre-loaded education content.
“It’s all about collaboration, innovation and creating new ideas… it works intuitively with teams and workspaces.” Hisham Arafat, Lead Data Analyst and Data Science Lecturer, Dell EMC
Industrialise the linking and analysis of patient phenotype, genotype and other datasets to speed development of targeted therapies.
“AnalytiXagility…supports the correlation of genetic sequence with prediction of response to therapy.” Stratified Medicine Scotland Innovation Centre
Extract insights and increase data sharing in an agile, pre-competitive environment to improve the efficiency of collaborative R&D projects.
“This project is based on collaborative relationships…We aren’t just asking for their data, we’re asking for their people.” Professor Craig Ritchie, Professor of the Psychiatry of Ageing, University of Edinburgh and European Prevention of Alzheimer’s Dementia co-ordinator