09.13.24 -- Which Top HEOR Trends Will Have The Biggest Impact On Clinical Research?

Uncover how navigating longer study durations presents unique challenges, necessitating efficient data collection methods and flexibility to adapt to evolving patient journeys and regulatory landscapes.

Let us build and manage your data monitoring committee or data safety monitoring board, ensuring oversight and the highest standards of data integrity and participant safety throughout your study.

Explore how AI revolutionizes clinical data management by automating medical coding, data reconciliation, and audit trail reviews, significantly enhancing efficiency and accuracy.

To implement and leverage artificial intelligence and machine learning across the clinical trial lifecycle ethically, sustainably, and effectively, it is critical for developers and regulators to collaborate.

The open-source statistical programming language R is becoming more popular in the life sciences sector for clinical study report submissions due to its cost-effectiveness, inclusivity, and collaboration.

With our advanced technology and expertise, sponsors can confidently conduct RWE studies that are efficient and aligned with the FDA’s data-driven vision for healthcare.

Prioritize data management that adheres to FAIR principles — findable, accessible, interoperable, and reusable — to gain operational insights that enable quick decisions and ensure participant well-being.

Discover the importance of historical data in clinical trials and the potential benefits it can provide for researchers and healthcare professionals.

VP of Research Oncology, Neal Meropol, MD, shares how a pragmatic approach to postmarketing commitments and postmarketing requirements can reduce the burden of these studies.