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Trialstat enhances ClinicalAnalytics 4.0 EDC platform to boost reporting performance

TrialStat : 20 November, 2007  (New Product)
TrialStat has announced innovative new features that further enhance the performance, reporting capabilities and ease of use for ClinicalAnalytics 4.0, the company's on demand electronic data capture (EDC) platform.
Building on EDC deployment times that are nearly twice as fast as the industry average, ClinicalAnalytics 4.0 (CA 4.0) now offers contract research organizations (CROs) and biopharma companies easy-to-use and sophisticated graphical reporting tools, automated post data entry validation and optimised study management functionality through its secure browser interface. As a result, customers can further accelerate the deployment, management and analysis of their clinical research data.

'We believe that the latest version of CA 4.0 will change the way people think about EDC,' said Jonathan Barker, president and CEO, TrialStat. 'Our customers have always enjoyed CA 4.0's industry-leading deployment times and intuitive interface. This new release takes CA 4.0 to a higher level of performance and flexibility delivering a best-in-class on demand solution at a very competitive price.'

The CA 4.0's new features include:

Browser Configurable Aggregated Study Reporting - Building on CA 4.0's existing reporting suite, the new capabilities simplify the ability to isolate, retrieve and view complex data sets, including audit trail information with the click of a button. These enhancements enable users to easily evaluate and compare data from multiple study sources within a project. For example, study managers can easily build reports that display clinical values graphically, such as vital signs or laboratory data across different visits, to identify trends or anomalies.

Integrated Post Data Entry (PDE) Validation - Integrated PDE automatically validates the accuracy of data across multiple forms and subjects based on a study's configuration and associated data validation rules. Integrated PDE also simplifies and accelerates the validation of data, as well as ensures that it is consistently captured. Users, for instance, can use integrated PDE to easily identify data anomalies and outliers by applying building rules for multiple forms that check ranges, states and values. This ability to run early validation of study data, rather than at the end of a study, can speed the time from Last Patient Last Visit (LPLV) to database lock.

Study Management - Project configuration and management has been further optimised to include improved user permission interfaces, form level permissions and date time controls. These enhancements allow for greater control over study data and enhance the flexibility of study designs.
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