In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.

In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patients in community and rural settings too often lack access to clinical research as a care option, and how closing that gap could improve outcomes and lower long-term costs.

The FDA’s RTCT initiative transmits predefined, clinically meaningful signals to regulators during active trials, so its value depends entirely on the maturity of sponsors’ upstream RBQM signal intelligence, KRIs, QTLs, and root-cause context, rather than on data speed.

In this video interview, Kent Thoelke, CEO of Paradigm Health, outlines why anti-kickback guidance and modern EHR-integrated trial matching technology must work in tandem to reach representative patient populations at the community level.

In this video interview, Kent Thoelke, CEO of Paradigm Health, describes how manual eligibility screening and swivel-chair data entry force community sites to trade billable patient care for research, and why that burden is so hard to absorb.

In this video interview, Kent Thoelke, CEO of Paradigm Health, explains why patient cost barriers and site infrastructure challenges must be solved together to close the participation gap in community and rural clinical trials.

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.