In today’s ACT Brief, we examine why the future of AI in trials is a trusted orchestration system rather than a single model, how coordinators rate eSource-enabled workflows, and what a bipartisan bill proposes for reusable trial networks.
|Articles|February 1, 2007
- Applied Clinical Trials-02-01-2007
- Volume 0
- Issue 0
eShowcase: ClearTrial 2.0
Web-based dashboard places clinical trial designers squarely in the driver's seat
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Web-based dashboard places clinical trial designers squarely in the driver's seat
ClearTrial, LLC (Oakbrook Terrace, IL) has released version 2.0 of its clinical trial operations planning software to help biopharm companies and CROs plan, budget, and optimize the operational design of clinical trials.
The heart of this latest version is a Web-based "dashboard" that offers a view of monthly budgets, accruals forecasts, study metrics, cycle-time dates, costs, and FTE/resource requirements. Also new is support for multiple outsourcing strategies, full-service outsourcing, hybrid studies, staff augmentation, and internal studies.
Other adornments to this version include the ability to compare cost and timelines between internal studies and outsourced ones, as well as assign study tasks to multiple service providers by function or country. Collaborative planning is also now possible between departments, business units, and strategic partners.
ClearTrial 2.0 is a J2EE-compliant, native Web-based application running over an Oracle database.
ClearTrial, LLC, (630) 424-1601,
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The Faster Clinical Trials Act would create an FDA Center for Clinical Trial Innovation and aims to cut trial costs and enrollment time by at least 30%.
Standardized measurement across five oncology centers found that clinical research coordinators rated eSource-enabled workflows positively (Overall Mean Satisfaction 5.79 of 7), with reduced manual entry and electronic data transfer earning strong marks, while perceived reduction in sponsor and monitor queries lagged as the one domain below threshold.
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, describes the industry’s trajectory toward a unified intelligence orchestration environment—and explains why the future isn’t one model that knows everything, but a trusted system that brings the right evidence to the right human decision.
In today’s ACT Brief, we examine how sites can avoid both fear-driven and overly aggressive AI adoption, why community-based research needs sustained financial investment, and why patient access matters more than organizational size.
Pacing obesity trial enrollment, anchoring eligibility to stable real-world therapies, and building site and physician relationships improve retention and data quality more than aggressive recruitment or restrictive exclusion criteria do.
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, argues that CROs must act as orchestrators rather than aggregators—and that the real test of any AI ecosystem is whether it reduces sponsor coordination burden or just hands it back to them.
Syneos Health and Optum outline a joint model for trial planning, recruitment and site access, with no financial terms or timelines disclosed.
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