Data Management

In this video interview, Raj Indupuri, CEO and co-founder of eClinical Solutions, explains why the FDA's push toward continuous data review exposes the fragmentation at the heart of current clinical trial infrastructure and what unified data pipelines need to look like to make it possible.

From planning one Phase III trial at a time to digital standardization on repeat.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, makes the case for moving beyond trial-by-trial planning toward cross-asset site partnerships—and explains why sites are three times more likely to share patient data when sponsors make that shift.

Patient Engagement Strategies in Anti-Obesity Medication Clinical Trials: Addressing Drop Out Rate and Improving Retention

In this Q&A, Sam Hinsley, statistics manager at Phastar, discusses the role statisticians play in raising standards across the clinical development timeline—and why getting early phase decisions right is critical to the entire drug development pathway.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, explains how AI is replacing unreliable feasibility estimates with precise, real-time patient matching—and what that means for reducing non-enrolling sites and screen failure rates.

Optimization challenges spurring cultural, strategic, and organizational change.

As the FDA formally recognizes real-world evidence as eligible confirmatory evidence for drug approval, sponsors face a growing imperative to build the data infrastructure, organizational alignment, and analytical capabilities needed to use RWE effectively across the development lifecycle.

Real-world evidence is shifting from a post-market footnote to a concurrent validation layer running alongside trial data, requiring organizations to build unified data environments that integrate EHRs, claims, and patient-reported outcomes on an ongoing basis rather than retrospectively.

In this video interview, Sam Hinsley, statistics manager at Phastar, explains why early phase decisions are the foundation of the entire development pathway and what is at stake statistically when those decisions are made on limited data.

In this video interview, Sam Hinsley, statistics manager at Phastar, makes the case that as trial designs grow more complex, collaboration between statisticians and clinical experts is not just helpful but necessary to get meaningful answers.

Clinical Trials Day is an international celebration of everyone who makes medical discoveries possible. It is also an opportunity to shine a light on the innovations helping to keep research rising.

In this video interview, Sam Hinsley, statistics manager at Phastar, explains how statisticians can ensure patient data is used responsibly and innovatively across every phase of development, from rare disease to personalized medicine to AI.

Webinar Date/Time: Thursday, June 11th, 2026 at 10am EDT | 7am PDT | 3pm BST | 4pm CEST

Clinical development productivity improved in 2025, but gains remain fragile as end-to-end timelines lengthened again, signaling that future success depends less on individual trial execution and more on program-level orchestration, site engagement, and adaptive operating models.

Webinar Date/Time: Thursday, June 4th, 2026 at 11am EDT|8am PDT|4pm BST|5pm CEST

Pediatric trial participation shapes children's and caregivers' long-term psychological outcomes, yet protocol design often overlooks experience as a variable affecting recruitment, retention, and data integrity—a gap increasingly recognized by regulators and quality standards

As imaging-heavy clinical trials grow more complex and globally distributed, sponsors are increasingly re-evaluating traditional infrastructure models, with cloud-native platforms showing potential to reduce operational burden, accelerate site activation, improve imaging quality oversight, and lower total trial costs.

From payment delays and feasibility misalignment to technology burden and AI adoption, clinical research sites are navigating a convergence of pressures that increasingly determine who sponsors work with and how well trials perform.

In this episode of the Applied Clinical Trials Podcast, Jonathan Andrus, co-CEO, CRIO, and Samir Jain, vice president of product management, healthcare data interoperability and EHR solutions, Medidata, discuss how their new partnership is enabling seamless data flow between eSource and enterprise platforms to reduce site burden and improve data quality across global clinical trials.

Early integration of clinical, operational, and patient-level insights during trial development can help close the gap between evidence generation and commercial performance, improving alignment between product value and real-world adoption.

When using electronic clinical outcome assessments (eCOA), ensuring clear stakeholder alignment throughout the lifecycle of a study regarding data management activities is critical to success.

Integrating technology and collaboration to close the evidence gap.