CLINICAL TRIAL PATIENT TECHNOLOGY INSIGHTS
-
Why Patients Drop Out And How To Stop Them
From scheduling friction to silent financial stress, patient dropout derails trials. Here’s what’s causing it and the tech helping sites fight back.
-
Predictive Analytics Is Reshaping How Sponsors Run Clinical Trials
Predictive analytics is transforming clinical trial operations, from enrollment forecasting to risk-based monitoring. Here’s what sponsors need to know.
ECOA RESOURCES
-
Accurate quality of life data is critical in oncology. eCOA unified with IRT streamlines trials, improves data collection, and enhances site user experiences across therapeutic areas.
-
Discover why the use of electronic clinical outcome assessments (eCOA) in clinical research is becoming an increasingly important part of study design in this article.
-
The life sciences industry has not yet scaled or realized the full potential of AI/ML. Here are four real-world use cases that can encourage researchers to unlock new efficiencies and insights in their studies.
ECONSENT RESOURCES
-
Discover how regulatory bodies worldwide, including the U.S. Food and Drug Administration and the European Medicines Agency, are now championing the shift towards eConsent adoption.
-
What does the ICF amendment or revision process look like within a digital platform and is this harder or easier than traditional paper-based approaches?
-
Biosample collection is an inevitable part of most clinical trials. Learn how sponsors should be tracking every sample back to the source so as to not violate compliance issues.
EPRO RESOURCES
-
Discover how harnessing Patient Reported Outcomes electronically in early-phase trials can boost patient centricity, create more cost-effective operations, and help generate better data faster.
-
Access real-world examples of how electronic patient-reported outcome measures (PROMs) optimize data quality and reliability and improve the statistical power of trial data.
-
Gain insight from several contributing experts for overcoming unique obstacles in rare disease research and learn how to better develop strategies.