Clinerion was selected by the Swiss Personalized Health Network to be the backbone of its Federated Query System due to the nature of its patented federated cloud infrastructure, which allows patient data to remain inside the IT infrastructure and under the control of each hospital, while still allowing queries of anonymized and obfuscated patient data from other hospitals in the network.
The five university hospitals of Switzerland are:
The FQS allows researchers to verify the feasibility of their project by assessing whether suitable patient data for specific research questions exist at Swiss university hospitals. The available information in the system, currently more than 70 million data elements from over 450’000 patients, who have consented to the further use of their data for research purposes, is a subset of the clinical data of all five university hospitals.
The platform includes demographic data (age and gender), diagnosis (coded in ICD-10), procedures (coded in CHOP), medication (coded in ATC), laboratory tests (coded in LOINC) and laboratory test results with units (according to UCUM). Under the project lead of the SPHN Data Coordination Center (DCC) managed by the SIB Swiss Institute of Bioinformatics, the clinical partners harmonized and standardized the anonymized clinical information, making it available for federated queries via a common front-end.
The FQS uses a customized version of Patient Network Explorer, enabling researchers to search for fully anonymized clinical information across all five university hospitals, while allowing the hospitals to retain full control over their data. It fully complies with privacy requirements, since only aggregated search results are shared with users and small patient numbers are obfuscated to prevent potential re-identification.
Clinerion Patient Network Explorer Technology Used by the Swiss Personalized Health Network
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.