Data Management

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.

The importance of applying past lessons to align clinical development with scientific advancement.

Clinical research evolves to prioritize patient-centered outcomes, integrating accessibility standards in electronic data capture for inclusive clinical trials.

As stakeholders debate fair market value in clinical trial budgeting, a new task force works to align sponsors, CROs, and sites on transparency, sustainability, and efficiency.

Webinar Date/Time: Thursday, June 26th, 2025 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Case study highlights how clinical operations teams can overcome complex regulatory and operational hurdles to finish a trial on time and on budget.

How digital intake solutions driven by technological advancements can help overcome the challenges of operating across different regulatory markets.

In this video interview, Michel van Harten, MD, CEO, myTomorrows, discusses where the clinical research industry currently stands with AI adoption.

A pragmatic approach to streamlining technology and innovating processes will help advance clinical data management.

Overcoming hurdles with licensing complexities, post-production changes, and IRB submissions can help in reducing timelines and increasing collaboration.

Companies share their experience in future-proofing clinical data technology.

An article published by the Journal of the American Medical Association highlights recent updates made to the CONSORT checklist and how they ensure the accuracy of trial reports.

Strategies for ensuring that innovation with PROs remains parallel with advancements in disease detection and progression.

Study uncovers insights on the impact on safety, patient enrollment/retention, and compliance.

The challenges, opportunities, and strategic outlook for oncology research centers.

Exploring the different stages in the development of a digital measure, and the activities and steps key to achieving meaningful impact for patients.

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, discusses industry’s next steps in being able to maximize the benefits of virtual models.

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, highlights how addressing these challenges can aid industry in moving more towards the future.

Webinar Date/Time: Tue, Apr 15, 2025 1:00 PM EDT

In this video interview, Rachael Higgins, chief commercial officer, PicnicHealth, discusses findings from the report and the industry's willingness to adopt technology.

Understanding the benefits and concerns associated with implementing datasets into clinical trial workflows.

COVID-19 not only advanced scientific boundaries, but also transformed research methodologies and accelerated adaptive clinical trial design.

In this video interview, Cameron Breze, product manager, Inovalon, discusses the need for accurate information in creating useful clinical data.

Addressing data integrity and compliance concerns.