CRO/Sponsor

Faster, more efficient clinical trials depend on structural alignment in how sponsors, CROs, and research sites plan and execute studies together.

In this Q&A, Raviv Pryluk, PhD, CEO and co-founder of PhaseV, discusses the data standardization bottleneck that sits between raw trial data and real-time analysis, what the FDA's continuous monitoring pilot will require to scale beyond large pharma, and why an ecosystem approach is the only path to making real-time trial oversight a practical reality.

Clinical research coordinators face early burnout driven by gaps between job expectations and operational reality, inadequate mentorship structures, and fragmented technology environments that compound insufficient onboarding and deplete resources needed to sustain engagement.

In this Q&A, Elizabeth Walsh, PMP, ACRP-CP, founder of Walsh Clinical Advisory and co-author of The Clinical Execution Blueprint, discusses the persistent misconceptions about sponsor accountability, why execution gaps originate long before study startup, and what genuine inspection readiness looks like when it is built in from the outset.

As agentic AI, automated data harmonization, and real-time monitoring reshape clinical development, the organizations seeing meaningful results are those that have invested in unified data infrastructure and disciplined governance rather than cycling through pilots without the foundation to scale them.

As clinical development grows increasingly complex and talent markets remain constrained, sponsors must evolve beyond binary outsourcing decisions to embrace a configurable functional service provider continuum that enhances operational optionality without requiring wholesale restructuring.

In this pilot episode of Beyond Compliance, Otis Johnson, PhD, MPA, founder and principal consultant at Vantix Operations, speaks with Paulo Limgenco, VP of business operations and ESG strategy lead at YPrime, about how sustainability is shifting from a compliance checkbox to a factor that shapes vendor selection, client trust, and long-term business value.

Clinical development operates as an integrated system where dependencies persist across phases and vendors, but treating contracts as execution handoffs creates invisible oversight gaps that surface later as vendor performance problems, timeline slips, or inspection findings.

AI agents operate only within workflows, but most organizations lack unified workflow management systems, making it difficult to identify where agents should be deployed or ensure they integrate effectively across connected business processes in clinical research.

In this Q&A, Gaynor Anders, chief delivery officer at Trialbee, discusses how the FDA's single pivotal trial shift is raising the stakes on patient recruitment, why the study-by-study model has persisted for so long, and what program-level recruitment actually requires from sponsors in terms of infrastructure, data sharing, and organizational change.

Clinical R&D modernization stalls through incremental optimization of individual workflows, but meaningful systemic change requires leaders to visualize structural relationships, understand hidden incentives, and identify leverage points that benefit the whole system rather than parts.

As the FDA's single-trial standard raises the cost of recruitment failure and diversity expectations intensify, sponsors are under pressure to move beyond study-by-study outreach toward programmatic, relationship-based approaches that treat patient engagement as a long-term strategic capability rather than a per-study operational task.

The traditional global-to-local communication model creates fragmented content through sequential adaptation, but a local-first approach using structured data and AI-orchestrated generation can embed stakeholder terminology and preferences from the start, reducing rework while improving clarity and relevance.