Learn why the next frontier in AI governance will involve real-time surveillance of algorithmic performance across institutions with guidance from Akshaya Bhagavathula and Michelle A. Williams.
- Virtual Reality Endpoints Improve Measurement Of Patients' Real-World Benefit
- Can't-Miss Advice On Selecting Your First AI-Enabled Vendor
- The Site Perspective: Why Ambient AI Is The Missing Link In Clinical Trial Data Integrity
- Why HEOR Keeps Arriving Too Late — And How ClinOps Can Fix It
- Accelerating Clinical Innovation With Open-Source Medical Platforms
- From Supercomputers To The Cloud: How Pharma's R&D Infrastructure Transformation Impacts Clinical Trials
- How To Identify Patient-Centric Risks In The TMF With AI And Automation
- How The TMF Demonstrates Patient Safety And Rights In DCTs
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Fast Data Insights Improve Productivity, Client Centricity
Discover how Medidata's Rave CTMS seamlessly met the comprehensive requirements of Catalyst Clinical Research—an exclusive CRO provider specializing in oncology—during a period of rapid expansion.
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Elevating Rater Training For More Reliable Study Outcomes
Well-trained raters are key to generating high-quality, consistent clinical trial data. Explore a program offering customized training tailored to the experience levels of raters.
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To Counter Bias, Counterbalance
It’s easy to overlook the effects a survey’s format can have on responses, but those effects are potent sources of bias. Modern EDC allows you to systematically vary both question and response option order. This practice, called counterbalancing, guards against unwanted order effects.
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Generating Quality Data To Streamline Trials And Support Approvals
Review the highlights from this industry report, which shed light on pathways for optimizing drug development processes, fostering efficiency, and embracing modern technology.
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Drive Superior Enrollment, Speed, And Quality Using eSource
Explore a detailed analysis of 140 research sites involved in a Phase III trial, highlighting significant advancements in trial performance and data quality using CRIO’s eSource platform.
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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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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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Why Use Scorecards To Make Vendor Selection Decisions
Scorecards enable structured, unbiased vendor selection by transforming complex clinical trial decisions into transparent, data-driven evaluations — ensuring operational excellence and regulatory compliance.
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Gradually Investing In Direct Data Capture Is Inevitable
Given study decentralization and the many electronic sources of data now available, it is time for sponsors and contract research organizations to face the inevitable: EDCs need to be “sunsetted.”
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Unlocking Potential AI And ML In Pharmacovigilance
Artificial intelligence (AI) and machine learning (ML) hold transformative potential in pharmacovigilance (PV), with the ability to enhance the efficiency, accuracy, and timeliness of drug safety monitoring.