This white paper represents a compilation of industry best practices for designing, implementing and leveraging randomization and trial supply management (RTSM) software in clinical trials.
Read how utilizing electronic data capture systems ─ including eCOA ─ and training site raters, subjects and caregivers are important tools to ensure high quality data capture in rare disease research.
A discussion of the commonly encountered hurdles in studying rare diseases and how a cohesive and holistic approach can mitigate issues and help bring new treatments to patients.
Review the need for rater training in clinical trials and review publications that report data on rater characteristics, training modalities and outcomes in terms of accuracy and reliability of clinical outcomes data.
Genomic- based biomarkers are powerful tools used to assess tumor mutational burden, production of novel or neo- antigens and hallmarks of genomic instability, which may be useful as measures of response or resistance to immune therapies.
This requirement to submit promotional material in eCTD will add complexity and more room for error, making it all the more important to prepare for potential challenges.
Before the protocol authoring process even begins, a variety of activities and decisions are necessary to establish a strategy for success. The following steps provide concepts and considerations that are essential in formulating the details that will become the protocol synopsis and ultimately the clinical study protocol.
Globalization of clinical trials, tightening regulatory requirements, a more competitive and collaborative commercial environment, and an increasingly mobile workforce requires life-sciences companies to standardize and improve regulated content management processes to ensure information is shared with the right people at the right time.
Learn about the challenges for Sponsors and CROs when integrating a vast array of data sources, typical relational database structures and why they don’t work for clinical analytics, as well as the ideal clinical data aggregation solutions for continuous, automatic data consolidation.
The adoption of RBM is increasing as companies provide greater management support, staff training and more sophisticated technology systems. Technology platforms that enable continuous monitoring with near real-time intuitive visualizations, analytic dashboards and applications will allow issues to be identified and addressed early, improving study safety and efficiency.
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