In today’s ACT Brief, we examine what it will take to scale EHR-to-EDC connections for real-time trials, how the FDA is reimagining rare disease drug development, and why oncology real-world evidence still faces persistent data barriers.
|Articles|February 26, 2020
Tufts CSDD Study Reveals Increased External Data Sources Contributing to Delays in Trial Completion
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According to The Tufts-eClinical Solutions Data Strategies & Transformation Study, conducted in 2019 by eClinical Solutions LLC and the Tufts Center for the Study of Drug Development, the increasing volume and diversity of external data sources is contributing to longer database lock cycle times. The study indicates that industry leaders are adopting definitive data strategies along with modern technologies to increase control over the research process.
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A new white paper and public engagement process outline the FDA’s commitment to building fit-for-purpose evidentiary standards, stronger patient voice integration, and greater regulatory predictability across rare disease drug development and review.
Real-time clinical trials require standardized digital data capture at the point of care through scaled eSource-EDC-EHR integration, but progress stalls because competing standards lack regulatory enforcement and one-off system integrations cannot scale beyond single studies without industry-wide alignment and legal clarity on data ownership.
In today's ACT Brief, we examine how representation gaps in trials are shaped by structural design decisions, how new partnerships automate data transfer from site systems to sponsor platforms, and how Roche is licensing a novel obesity target from a biotech pioneer.
IgniteData and RealTime Partner to Streamline Clinical Data Transfer From eSource to Sponsor Systems
The partnership gives RealTime's network of more than 3,000 research sites access to the Archer platform for direct, automated data transfer from eSource to any sponsor electronic data capture system or data destination.
In this video interview, Saamir Pasha and Carole Berini, PhD, of Ontada, identify three persistent obstacles to consistent real-world evidence generation in oncology—inconsistent data capture, structural data limitations that modeling alone can't fix, and the need for earned generalizability through deliberate multi-site validation.
How a phased CRO partnership built on ICH E6(R2) and E6(R3) principles supported a multi-indication biotech portfolio.
The second of a two-part perspective examining why clinical trial enrollment and representation outcomes are shaped long before the first patient is screened.
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