Commentary|Videos|January 19, 2026

Applying AI to Reduce Administrative Burden Without Losing the Human Touch

Examine how practical AI applications can streamline contracts and startup workflows while preserving the central role of investigators, site staff, and patient relationships in clinical research.

In a recent video interview with Applied Clinical Trials, Brian Mallon, Executive Vice President, Site and Patient Solutions at ICON, discussed why site activation timelines continue to lag across the industry and what operational changes could help reverse the trend. Drawing on findings from a recent global survey, Mallon outlined how prolonged contract and budget negotiations, communication gaps, and increasing protocol complexity are contributing to startup delays. He explained how greater standardization, earlier and more meaningful site engagement, and the thoughtful application of AI and automation—particularly to reduce administrative burden—can accelerate activation without adding complexity for sites. Mallon also emphasized the importance of maintaining momentum during startup, adopting more site-centric practices, and strengthening bi-directional communication to better support site staff while improving overall study efficiency.

The below interview transcript was lightly edited for clarity.

ACT: How can AI and other operational innovations be applied in practical ways to address persistent startup delays without adding complexity for sites?

Mallon: To preface this, I’d say that AI is all fine and well, but clinical research is, at its core, a profoundly human endeavor. There’s nothing more personal than the choices people make about their health, and the relationship between investigators and the patients they support and treat is absolutely central.

Any technical innovation—AI or operational—must be viewed through that lens. The primacy of the investigator and patient experience is sacrosanct. The key role for AI and automation is around practical solutions to persistent startup delays, particularly administrative ones, but it should always serve and empower the people at the heart of research.

When we think about where AI can help, it’s about reducing administrative burden. Tools like Smart Draft help streamline contract negotiations by resurfacing precedents previously agreed by sites. That reduces burden, but these innovations must be thought through carefully at a very practical level, especially in terms of the site experience.

For example, providing a previously signed version directly to the site—rather than requiring them to search for it—makes the process tangible and helpful. That confluence of reduced administrative burden and real-world usability ultimately makes the process more efficient and user-friendly, without compromising the human connections and critical clinical judgment that define our field.


Related to this article

What Expanding AI Ecosystems Mean for Sponsor Complexity and Oversight
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, argues that CROs must act as orchestrators rather than aggregators—and that the real test of any AI ecosystem is whether it reduces sponsor coordination burden or just hands it back to them.
Where AI Governance in Clinical Development Falls Short
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, identifies three recurring failure modes in AI governance frameworks—and explains why responsible AI must be an ongoing operating discipline, not a one-time approval gate.
© photon_photo - © photon_photo - stock.adobe.com
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.
Where the Industry Is Headed as Clinical, Operational, and Real-World Data Connect
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.