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
-
Bringing Clinical Research To The Patient Using Patient-Centric Tech
By fostering daily interactions between patients and technology, these smart hubs offer a sustainable approach to ensuring the success and integrity of clinical trials in an evolving landscape of drug development.
-
Commercializing Rare Disease Treatment With Near Real-Time Alerts
How did Quest help a leading pharmaceutical company overcome the data latency challenges associated with traditional EHR when recruiting eligible patients for a rare blood disorder drug?
-
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.
-
Transforming Field Rep Success
As the healthcare landscape evolves, maintaining accurate and timely information delivery becomes vital for building strong HCP relationships and improving patient outcomes.
-
EHR Integration: Driving Clinical Trial Efficiency
Explore how clinical trials are integrating Electronic Health Records (EHRs) into trial workflows to better face the increasing demands for efficiency, cost reduction, and improved participant experiences.
-
How Capturing Data Directly Is Transforming Trials
With the right eSource technology, discover how trial data can be aggregated, integrated, and classified to accelerate data analysis for insight-based decisions in real time.
-
Navigating The Evolving Regulatory And Data Landscape
Explore how real-world evidence is reshaping clinical research and learn why precision and innovation are key to staying ahead in this evolving landscape.
-
Clinical Data Needs Smart Automation Now for a Better AI Future
AI holds the potential to enhance clinical trial efficiency, but it relies on a foundation of clean data and intelligent automation to be effective.
-
Optimizing Prader-Willi Syndrome Clinical Trials
Learn how Signant is helping to mitigate placebo responses and ensuring high-quality data to improve Prader-Willi syndrome (PWS) clinical trial success.
-
FDA Guidance Has Implications For EDC And EHR eSource Capabilities
Gain insight from an eSource study observing digitally received data as far back as 2007 to just before initial guidance was released by the U.S. FDA in 2013.