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Across the clinical research ecosystem, one truth continues to surface: time to activation matters more than ever. Delays in study start-ups don’t just slow recruitment. They shorten enrollment windows, frustrate investigators, and can ultimately determine whether a site remains competitive for future trials. Yet despite years of attention, many organizations still struggle to consistently activate studies within industry expectations.
Why? Because how work is organized—not how hard people work—often determines how quickly a study opens.
At this year’s ACRP Conference, we’ll explore one of the most persistent and consequential questions in study start up: How can centralized, decentralized, and hybrid models impact time to activation in practice?
The Hidden Complexity of Time to Activation
Time to activation is rarely delayed by a single step. Instead, it is shaped by a chain of interdependent activities, including feasibility, coverage analysis, budgeting, contracting, institutional review board matters, and ancillary reviews, which often span multiple departments and systems. In many organizations, visibility into this end-to-end process is limited, with progress tracked through spreadsheets, e-mails, and informal follow-ups rather than a true system of record.
This lack of visibility makes it difficult to answer the question investigators ask most often: Where is my study and what’s holding it up? But visibility alone is not enough. Without standardized definitions, agreed-upon turnaround expectations, and clear governance for who owns delays and how they are resolved; studies can sit in queues without action. In the absence of defined accountability and escalation, delays accumulate quietly until weeks or months have passed.
Centralized Models: Clarity, Consistency, and Control
Centralized activation models are often designed to address these exact challenges. By housing key activation roles like budgeting, calendar build, or contracting within a central office, organizations can reduce duplication, standardize workflows, and establish parallel workflows.
Institutions that have moved toward more centralized approaches often report improved role clarity, more predictable turnaround times, and better coordination across parallel activities. Centralization also makes it easier to set and monitor enterprise level targets with defined milestones—a goal many organizations now aspire to meet.
But centralization alone is not a silver bullet for all organizations.
Decentralized Models: Balancing Flexibility with Standardization
Decentralized activation models place start-up responsibilities within individual departments or study teams, offering flexibility and close alignment with investigators and therapeutic areas. This approach can support responsiveness to sponsor expectations and accommodate study-specific nuances, particularly in complex research environments.
That flexibility is most effective when supported by shared institutional standards and workflows. Clear definitions of roles, consistent review criteria, and well-defined hand-off points help reduce confusion as studies move between functions. Organizations that pair decentralized execution with standardized processes and governance often see smoother transitions, better coordination, and improved efficiency, while preserving meaningful local engagement.
What High-Performing Organizations Do Differently
The most successful organizations rarely frame the conversation as centralized versus decentralized. In practice, many organizations operate in hybrid models, centralizing select activation activities while preserving local ownership where therapeutic expertise, investigator engagement, or operational nuance matters most.
Common traits among faster activating sites include:
- Clear definition of the activation critical path, with explicit dependencies and agreed-upon duration goals for each step
- Parallel activities where possible, rather than strict sequential handoffs between functions
- Standardized metrics that distinguish idle time, process time, and wait time, enabling teams to diagnose where delays truly occur
- Central governance paired with transparent communication back to investigators and departments
In other words, speed improves when organizations design activation as an integrated system and not a series of disconnected tasks.
Join the Conversation at ACRP 2026
At our ACRP 2026 conference session, we’ll go deeper into how different organizational models influence time to activation, drawing on real-world assessments and practical examples. We’ll explore:
- When centralization accelerates activation—and when it doesn’t
- How hybrid models can balance efficiency with investigator engagement
- What metrics actually matter when measuring start-up performance
If your organization is still asking why activation timelines feel stubbornly out of reach, this session is for you.
Because improving time to activation isn’t just about moving faster. It’s about organizing work in a way that makes speed sustainable.
We hope you’ll join us.
