Reltio Enterprise 360 aims to hasten clinical trials
Reltio, a provider of a cloud-native master data management SaaS platform, is unveiling Reltio Enterprise 360 Site Intelligence, a new cloud service that enables Pharmaceutical Research and Development Teams and Contract Research Organizations (CRO) to centralize detailed data about study sites and Principal Investigators (PI).
Reltio Enterprise 360 Site Intelligence enables CROs and clinical trial teams to:
- Define the key criteria for site selection based on each new protocol, leveraging experience and results.
- Search all current, complete, accurate information available on Healthcare Organizations (HCO)/study sites, and Healthcare Providers (HCP) / PIs.
- Evaluate and rate study sites and principal investigators using artificial intelligence (AI), quantitative metrics, and qualitative criteria, such as adverse events reporting and alignment with intervention and treatment areas.
- Manage consent, contracting, and collaboration workflows.
Reltio customers include nine of the 10 largest global pharma companies and multiple CROs, including Bioclinica, IQVIA, and Syneos Health.
The path to commercialization for every FDA approved drug and cleared medical device in the United States began with a clinical trial. Recruitment of study sites and PIs are fundamental, but often vexing, first steps in starting a clinical trial.
Reltio Enterprise 360 Site Intelligence helps mitigate these ongoing challenges and barriers by providing a SaaS platform that provides unified, reliable, and real-time data for:
- Third-Party Industry and Reference Data
- Operational and Analytical Data
- HCO Data
- HCP Data
- Identifying relationships with proprietary Connected Graph technology
- Actionable insights powered by machine learning
Connected Graph technology is unique to Reltio Enterprise 360 Site Intelligence. HCOs, HCPs, PIs, and study sites are often connected in many-to-many relationships.
Reltio Connected Graph can quickly identify content preferences, influence in a disease area, prescribed products, and clinical trial participation that traditional databases cannot. The graph models interrelationships and dynamic hierarchical information for an at-a-glance view. These insights are valuable.
AI provides insight into key considerations for clinical trials. These include study site and PI performance on past studies, relationships with competitors, areas of expertise, site logistics, and other important data.
For more information about this release, visit www.reltio.com.