RTCT raises hard questions about sponsor liability, blinding integrity, DSMB overlap, and AI accountability that the industry hasn’t yet resolved. Both sides of that ledger deserve honest consideration.
- Pharma's Digital Transformation: Where It's Really At
- How AI Is Changing Clinical Trial Design, Not Just Speed
- What Is Clinical Trials Day? Why Technology Helps Research Rise
- DiMe's Navigator: Why Teams Still Stall On Digital Endpoints
- Why Are Life Science Companies So Poorly Prepared For RIM's Future?
- Digital Endpoints Are Ready. Clinical Development Isn't
- Why Clinical Trial Data Cleaning Must Go Continuous (And How To Do It)
- What Clinical Analytics Solutions Are Shaping Clinical Research
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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3-Week Database Builds That Withstood FDA Review
Learn how a lean clinical team deployed global, regulator-ready databases in just three weeks to secure immediate Phase 3 entry and transform reproductive health research.
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Understanding Security And Role-Based Access In An eTMF Platform
Most unauthorized data breaches enter through doors that already exist. Learn how role-based access can improve security by tailoring access to each user’s needs and responsibilities.
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Simplifying ePRO Data Collection
The Bring Your Own Device (BYOD) model, supported by Trialkit, is an innovative approach in clinical trials that allows participants to use personal smartphones or tablets for data collection.
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How DCTs Became The New Standard
See how the core features of DCTs have become the new default clinical trial practices for a variety of therapeutic areas, almost four years after the 2020 pandemic brought about their rise.
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Implementing eSource: A Guide For Operations And Technology Roles
By recognizing and addressing the challenges associated with eSource integration, research facilities can fully harness its transformative potential, optimizing efficiency and reliability.
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Why The TrialKit Platform License Agreement Changes The Economics Of Clinical Trials
A platform‑based pricing model removes change‑order friction, enabling predictable budgets and faster study adjustments. It supports operational agility and portfolio‑level efficiency as trials evolve.
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Demystifying AI In Clinical Trials
AI is revolutionizing clinical trials by improving efficiency and data quality, but success depends on strategy and oversight. Explore practical ways to integrate AI responsibly.
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Deconstructing Central Rating In Clinical Trials
Analyze several commonly held misconceptions about Central Rating and its ability to ensure data validity and study success in this
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Electronic Data Capture In Clinical Trials: What Needs To Improve?
Integrated technologies enhance clinical trial support, boosting the potential for quicker time-to-market. Key sponsors and CROs favoring operational efficiency prioritize "holistic study design," involving the integration of technologies (e.g., EDC, eCOA, and IRT) aligned with protocol, as opposed to constructing the study in individual tools.
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Patient-Centric Clinical Trials: The Power Of Choice
Patient-centric trials, advocated by the FDA, focus on offering choices to improve engagement, diversity, and data quality. Explore how expanding patient choice can benefit clinical trials.
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- 05.21.26 -- AI, HEOR, And Hidden Costs Reshaping Clinical Trials
- 05.14.26 -- AI, RWE, And The Systems Breaking Clinical Trials