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|October 17, 2011
Michigan Institute for Clinical & Health Research Selects OpenClinica Clinical Trial Software
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The Michigan Institute for Clinical & Health Research (MICHR) at the University of Michigan has selected the
According to Jim Maszatics, Clinical Research Informatics Core (CRIC) Manager at MICHR, OpenClinica offers a robust infrastructure that will enhance MICHR’s competitiveness for extramural funding. “Static budgets and budget cuts from the NIH are causing government-sponsored grants to become more competitive than ever. With OpenClinica, we are able to put in place an enterprise-quality, regulatory compliant electronic data capture and clinical data management system that will make us more attractive to both government-sponsored and industry-sponsored clinical trials.”
In addition to its regulatory compliance capabilities, MICHR cited OpenClinica’s flexibility to support a wide variety of studies off the same platform, thereby increasing the institute’s efficiency. This efficiency will serve MICHR well in its support of a large and growing number of diverse clinical studies.
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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.
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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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