Register Now: Beyond EDC: Designing a Connected Data Strategy for Predictive Clinical Development
Commentary|Videos|April 13, 2026

How Veeva Is Taking a New Approach to Scalable eSource for Research Sites

In this video interview, Nick Frenzer, general manager of site solutions at Veeva Systems, discusses why eSource has been difficult to implement at scale, how FHIR-based technology is changing that, and what Veeva eSource means for sites, sponsors, and the broader clinical trial ecosystem.

Interview summary

In a recent video interview with Applied Clinical Trials, Nick Frenzer, general manager of site solutions at Veeva Systems, discussed why eSource has remained challenging to implement at scale across the industry despite years of promise, and how a new approach rooted in FHIR-based standards and a site-first philosophy could finally change that. He opened by identifying the core problem: EDC-to-EHR integration has historically produced costly, one-off connections built for individual studies or individual EHR systems, creating waste and burden for sites rather than relieving it. The premise of eSource has always been sound, with direct data capture at the site and electronic delivery to sponsors eliminating errors and reducing source data verification, but deploying and scaling it in that fragmented manner has made it largely unattainable.

Frenzer argued that truly scalable eSource requires rethinking not just the technology but the roles and relationships between sites, sponsors, and hospital IT staff. Veeva eSource is built within Site Vault, Veeva's site-owned platform, and leverages FHIR-based API standards to enable precise, automated transfer of audit-ready data elements from EHR systems into EDC. That approach reduces what previously required hundreds of hours of IT integration work to fewer than ten hours in total, a fundamental shift in what it takes to make a connection.

He emphasized that because 80% of global trials already run on Veeva technology, the company is uniquely positioned to see and connect the full picture across sites, sponsors, and CROs, and that EHR integration is a full-time organizational focus rather than a side project. For sponsors, the benefits include reduced SDV burden, complete audit traceability within a contained ecosystem, and elimination of duplicative data entry. For sites, it means freeing up staff time to spend where it matters most, which is with patients. Frenzer closed by framing the broader ambition: shaving even a month from the time required to deliver medicines to patients makes the entire effort worthwhile.


Related to this article

© 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.
© putilov_denis - © putilov_denis - stock.adobe.com
Real-time clinical trials require standardized digital data capture at the point of care through scaled eSource-EDC-EHR integration, but progress stalls because competing standards lack regulatory enforcement and one-off system integrations cannot scale beyond single studies without industry-wide alignment and legal clarity on data ownership.
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.
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.