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|November 18, 2014
goBalto Releases ClinOps Reporting Tool
goBalto announced the release of Analyze
Advertisement
goBalto,a provider of cloud-based clinical study startup solutions, announced the release of
Analyze provides insight into performance across accounts, portfolios, studies, countries, and sites. Reports can also be shared internally and externally to members of partnering organizations. It features customizable reports, drag and drop visualizations, and interactive dashboards on activities related to clinical study startup.
Read the full release
Advertisement
Related to this article
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.
Advertisement
Advertisement
Trending on Applied Clinical Trials Online
1
Where the Industry Is Headed as Clinical, Operational, and Real-World Data Connect
2
Building Standardized Evidence for eSource-Enabled Clinical Trials: Multi-Site Validation of a Clinical Research Coordinator Satisfaction Methodology
3
Where AI Governance in Clinical Development Falls Short
4
ACT Brief: Applied Clinical Trials at 2026 SCRS Global Site Solutions Summit
5