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|June 1, 2013
- Applied Clinical Trials-06-01-2013
- Volume 22
- Issue 6
ePRO: A Maturing and Widely-Preferred Market
Industry Standard Research
Advertisement
The adoption of technologies is generally increasing throughout clinical trials. It took the industry some time to fully adopt and integrate EDC as the de facto standard for data collection but that has happened. ISR's data show EDC is now the data collection method of choice for the vast majority of clinical trials. We're also witnessing the maturation of other technologies in clinical trials such as online dashboards that aggregate clinical trial metrics and report on study progress; we see clinical sites relying more heavily on their electronic medical records for feasibility and patient recruitment; and we find clinical investigators and study coordinators prefer electronic patient reported outcomes (ePRO) over paper PRO.
The stage is set for further proliferation of not only ePRO, but a much broader set of eClinical service offerings and value propositions. Service providers, technology developers, and CROs need to know where their products stand and sponsors should be aware of how their partners are viewed by one of the most important cogs in the clinical development wheel: the investigative sites.
—Industry Standard Research,
Articles in this issue
over 13 years ago
ACT Coverover 13 years ago
It's a Man's World—and it Shouldn't Beover 13 years ago
Business and People June 2013over 13 years ago
TransCelerate Offers its Position on RBMover 13 years ago
PDUFA V Changes To Speed Drug Development and Approvalsover 13 years ago
Integrating Patient Retention Strategiesover 13 years ago
Network Meta-Analysis Can Play Decisive Roleover 13 years ago
Research in the Age of Transparencyover 13 years ago
Type 2 Diabetes Community-Based Recruitment StrategiesAdvertisement
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
Building Standardized Evidence for eSource-Enabled Clinical Trials: Multi-Site Validation of a Clinical Research Coordinator Satisfaction Methodology
2
Where the Industry Is Headed as Clinical, Operational, and Real-World Data Connect
3
Bipartisan Bill Would Build Reusable Clinical Trial Networks, With a Focus on Rare Disease
4
Where AI Governance in Clinical Development Falls Short
5