Better Site Training Starts With Five Simple Questions

In Episode 3 of The Human Side of Clinical Trials, hosts Brian S. McGowan, PhD, FACEHP, chief learning officer and co-founder of ArcheMedX, Inc., and Kelly Ritch, chief operating officer of ArcheMedX, Inc., speak with Jason Riis, PhD, CEO and chief behavioral scientist at Behavioralize, about why a well-written protocol doesn’t always translate into consistent execution, and how designing for the way people actually think and learn can reduce site burden and the need for costly unlearning.

Medical writing capacity pressure is fundamentally a talent development problem, not a technology problem, since hybrid resourcing and AI cannot substitute for the experienced judgment needed to review AI output and mentor the next generation of writers.

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.

Patients don’t experience primary endpoints, so trials that stop at biomarkers and rigid rating scales risk declaring success while leaving daily burden untouched, and digital tools only deliver meaningful evidence when they are co-designed with patients and deployed with restraint.

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.

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.