Neuroscience trials struggle to show benefit because symptoms are subjective and variable, and eCOA strengthens dossiers by standardizing ClinRO administration, capturing outcomes in real time to reduce recall bias, and adding patient and caregiver perspectives that clinician scales miss.

Data capture is no longer the bottleneck, and whether the lag between a signal and a decision shrinks depends on signal design, AI governance, and vendor orchestration.

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.

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 Q&A, Kent Thoelke, CEO of Paradigm Health, discusses why participation gaps in community and rural settings come down to both patient cost barriers and site infrastructure, how legacy workflows weigh on community clinics, and what policy and technology changes it would take to make clinical research a real care option for more patients.

Community participation gaps look less like a question of patient willingness and more like a financing and infrastructure problem that no single bill has yet solved.

In this Q&A, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, discusses what changes when AI is embedded across protocol strategy, data infrastructure, and workflow tools at once, where governance frameworks tend to fall short, and why CROs must orchestrate AI ecosystems rather than simply aggregate them.