goBalto announced its latest version of goBalto Analyze. The second major release of 2018 offers new reporting capabilities based on standardized performance metrics that are actionable to drive transparency and process improvement.
The sharpening focus on quality management and efficiencies is fueling greater use of standardized metrics to optimize clinical trial performance.
Performance metrics are critical to efforts to rein in clinical trials that are either poorly initiated or have incurred unforeseen events, which place the original timelines and/or budgets at risk of overages. They also drive competitive performance among those organizations performing trials.
Risk mitigation is therefore optimized using systems that can provide timely, preferably real-time data on trial bottlenecks, which indicate red flags to be reviewed and addressed or at least tracked carefully throughout the trial.
"Although overall cycle times can be an indicator of process and team inefficiencies, it does not inform you as to the exact cause of the problem. Organizations need to be able to analyze their data to determine the cause and effect of process, staffing, and regulatory changes on their cycle times," said Sujay Jadhav, goBalto's CEO.
New standard reports improve the efficiency of the IP release process by quickly identifying sites that have not yet initiated package planning or those requiring additional follow-up, as well as funnel and milestone planning performance. goBalto also announces the industry's first, real-time benchmarking visualizations of study startup performance based on therapeutic areas and country.
With over 300 pharma and CRO companies benefiting through a networked model using goBalto Activate to manage, track, and complete study startup tasks in thousands of studies, utilizing over 100,000 sites in 70+ countries, goBalto has the largest industry-proven set of country specific workflows and associated performance metrics.
As the only life science vendor having this depth of industry knowledge on study startup, goBalto is well positioned to standardize across multiple data sets, to provide a single view of the real-world metrics and cycle times. Study startup cycle time beginning, and end points have been defined in alignment with the multiple starting points defined by our customers. These are dependent on an organization's SOPs where, for example, the events Activated, IP release, and Site Initiated could be synonymous.