goBalto, Inc., a provider of cloud-based clinical study startup (SSU) solutions, has announced its partnership with Citeline, part of Informa's Pharma Intelligence vertical, to integrate data from Citeline's intelligence platforms — including Trialtrove and Sitetrove — with goBalto's Select. Indexing information captured by Citeline on more than 390,000 investigators across over 265,000 trials in more than 170 countries to the award-winning Select application aids in providing a data driven approach to weighing selection and performance variables in the identification of sites and target populations ideally suited to studies.
By incorporating data from Citeline into Select, mutual Citeline and goBalto clients can now easily and efficiently identify ideal sites at which to conduct their clinical trials.
Increased competition for sites and enrollment issues – determining whether specific sites have patients, combined with pressure to enroll patients quickly – has increased the number of non-active, non-enrolling (NANE) sites being activated for clinical trials. Combining all available data assets into one single view, increases the breadth of evidence available to encompass data from both public and private domains. This in turn enables both faster and better decision-making by considering all information in a single query as opposed to the current practice of running queries in multiple systems and having to consolidate results to understand the full landscape for the study.
This significant collaboration allows Citeline clients who subscribe to XML feeds and who are also clients of goBalto to access a broader range of data sources. By integrating key Citeline data components into Select's site identification, feasibility assessment and selection toolset, end-users can simplify the once arduous task of having to utilise multiple resources to research clinical trial investigators at high performing sites for their own clinical studies.
Brought to you by Scope e-Knowledge Center, a world-leading provider of Abstracting & Indexing (A&I) Services, Knowledge Modeling Services (Taxonomies, Thesauri and Ontologies), Metadata Enrichment & Entity Extraction Services.
