What Can ClinOps Learn from Pre-Clinical?

This episode of The Human Side of Clinical Trials, hosted by Brian S. McGowan, PhD, FACEHP, chief learning officer and co-founder of ArcheMedX, Inc., and Kelly Ritch, chief operating officer of ArcheMedX, Inc., explores why training completion metrics like attendance and quiz scores fail to capture true study readiness, and how measuring both competence and confidence can reveal trial risks before enrollment even begins.

This pilot episode of The Human Side of Clinical Trials introduces a framework from Brian S. McGowan, PhD, FACEHP, chief learning officer and co-founder of ArcheMedX, Inc., exploring why operational failures in clinical trials often trace back to gaps in human readiness rather than process design alone.

In today's ACT Brief, we examine what genuine patient voice requires beyond buzzwords, why AI's next bottleneck is system integration not models, and how regulators across three jurisdictions are formalizing patient input requirements.

In today's ACT Brief, we examine FDA's expedited pathway for first-in-human trials, why operating model design matters more than sourcing strategy, and how early readiness signals predict trial risk.

In today's ACT Brief, we examine what families with rare epilepsy teach about trial feasibility, how preclinical CRO partnerships are evolving beyond transactional services, and why cortisol dysregulation limits GLP-1 effectiveness in diabetes.

In today's ACT Brief, we examine how shifting patient engagement to endpoint selection improves trial data quality, why execution infrastructure must precede AI deployment, and addressing missing baseline data in real-world oncology research.

Clinical trials have spent decades perfecting data capture, but the execution layer underneath it, including decision workflows, data collection design, and lab connectivity, remains fragmented in ways that limit what AI can realistically deliver and that quietly compromise the scientific validity of the data itself.

In today's ACT Brief, we examine why seizure reduction misses what families want from epilepsy trials, how lab coordination requires connecting data to intent, and why healthcare needs orchestration rather than more tools.