Data Management

Pharma R&D faces rising trial complexity, high costs, and patient and investigator shortages, driving the need for adaptive models and data-driven strategies to speed therapies to market.

In an era of constant policy change, timely real-world data is emerging as pharma’s most critical tool to track patient access, anticipate shifts in treatment utilization, and improve outcomes in real time.

The full value of clinical data will only be unlocked by redesigning how it’s captured, connected, and applied to accelerate decisions, improve trials, and better serve patients.

In this Q&A, Randa Wahid of Indero, and Lyn Mursalo, a freelance clinical research professional, share how sponsors and CROs can build collaborative partnerships, navigate global trial complexities, and apply practical strategies to deliver studies on time and with quality.

New guidance and technology advances are reshaping eClinical systems, positioning them as tools to accelerate enrollment, improve data quality, and reduce site and patient burden.

In this Q&A from the 2025 Veeva R&D and Quality Summit, Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk, discusses simplifying system use through the company’s DataNow program and taking a measured, stepwise approach to applying AI and automation across the clinical development lifecycle.

In this Q&A from the 2025 Veeva R&D and Quality Summit, Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk, discusses simplifying system use through the company’s DataNow program and taking a measured, stepwise approach to applying AI and automation across the clinical development lifecycle.

Strategic AI applications are helping life sciences teams overcome hidden bias, accelerate data discovery, and improve evidence integrity at the start of the pipeline.

Strategic AI applications are helping life sciences teams overcome hidden bias, accelerate data discovery, and improve evidence integrity at the start of the pipeline.

In this Q&A, Rohit Nambisan, CEO of Lokavant, and Jonathan Crowther, head of predictive analytics, Pfizer, explore how AI is transforming study feasibility, regulatory review, and trial execution.

In this episode of the Applied Clinical Trials Brief, we spotlight a recent video interview with Luke Wilson of Thermo Fisher Scientific in which he shared insights on how data visibility, remote monitoring, and integrated systems can streamline inspections, improve patient safety, and keep decentralized trials compliant and on track.

A new myTomorrows survey of physicians in the United States highlights the need for smarter, AI-driven tools to overcome inefficiencies in clinical trial access and improve patient care timelines.

Digital strategies such as video ads and pixel tracking helped researchers recruit faster, reach more diverse participants, and cut costs in a large-scale depression study.

Shipra Patel, global therapeutic area section head, endocrinology, global head, pediatrics, Parexel, explains how real-world data is helping researchers navigate gastrointestinal side effects, dose flexibility, and long-term tolerability in off-label GLP-1 use.

A new global report finds that clinical research teams are making progress but still lack the skills and tools needed to keep pace with growing trial complexity and emerging technologies.

In this video interview, Heather Horville, solutions consultant at Greenphire, emphasizes the growing need for clinical operations to embed patient-centric services—from consent through final visit—to improve retention and overall trial success.

In this video interview, Heather Horville, solutions consultant at Greenphire, discusses how growing financial and logistical burdens on participants are threatening study timelines and data quality—and why planning for retention earlier is becoming a clinops imperative.

How the application of artificial intelligence, broader use of real-world evidence, decentralized clinical trials, master protocols, and risk-based quality monitoring, together with strong ethical oversight and increased collaboration, are contributing to better healthcare delivery and strengthening the role of clinical research in driving global health progress.

Why future-ready pharma companies must embrace AI-driven, real-time decision-making.

How clinical operations teams can close the gap between controlled trial results and real-world adoption by generating evidence in broader, more representative patient populations.

AI as an accelerator for data-centric, process-centric, and human-centric clinical research.

As clinical research increasingly relies on RWD to enhance trial design and patient insights, tokenization has emerged as a critical solution for securely linking disparate datasets while protecting patient privacy.

How human-centered AI that is focused on customer, user, and employee experience can drive real transformation in clinical trials and beyond by aligning intelligent technologies with the people who use them.

As wearable ECG technology advances, cardiac safety studies in clinical trials are evolving to capture richer, continuous heart data while reducing patient burden.

In this Q&A, Megan Bailey, EVP and president of central laboratories and international, Labcorp, discusses how central labs are evolving beyond testing to become strategic partners in clinical trial success.