A CRC who touches eight systems before lunch explains why clinical research’s biggest technology problem may be interoperability, not a lack of software.
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
- How Versiti Turns Data Into A Lifeline For Rare Blood Patients
- What Is Shadow AI, And How Does It Impact Clinical Trial Tech?
- Will AI And Agile Project Management Help Advance RBM?
- Building A Clinical Trial Tech Stack That Actually Works
- The Integration Dilemma: Who Decides Which Tech Stack Wins?
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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How We Used Intelligent Automation to Transform Vendor Selection
Discover how your small biotech can achieve faster timelines, improved cost control, and more strategic, transparent choices with a platform leveraging intelligent automation.
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How Can Sponsors Enable Research-Naïve Clinical Trial Sites
Clinical trial capacity in the U.S. is heavily concentrated, and technology is playing a critical role in enabling a shift to expanding site networks and alleviating the burden on sites and patients.
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Early-Stage Biotech's AI Advantage Is A Window That Closes
The "greenfield" advantage allows biotechs to build AI-native trials from the start, replacing manual data entry with automated workflows and structured human oversight for better data integrity.
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Why Oncology Drug Development Lags In Digital Biomarkers
Despite technological advances, oncology drug development research has lagged in adopting wearable digital biomarkers. Explore this space's unique challenges and the benefits of wearable technology.
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What Patients Are Asking For In Clinical Trials
Global insights show how travel demands, uneven compensation, and overlooked caregiver burden undermine trial participation — making flexible, patient-centered approaches essential.
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Reduce The Need To Perform A 12-Lead ECG In Resource Limited Settings
Remote cardiac monitoring technology is enabling the pharmaceutical industry to shift towards innovative, efficient, and patient-friendly clinical trials.
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A Guide To Electronic Data Capture (EDC)
EDC systems are designed to support a wide range of clinical research while ensuring compliance with global regulatory standards, revolutionizing data management in clinical trials.
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A New Take On The Evolving Role Of AI In Clinical Trials
Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.
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The Site's Guide To Recovering Clinical Technology Costs From Sponsors
Gain sponsor approval by positioning technology as key to streamlined workflows, compliance, and patient safety — reducing risk and improving collaboration. Explore strategies now.
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EDC For Mid-Study Changes In Medical Device Clinical Trials
In this case study, discover how a company was pointed to an electronic data capture (EDC) system that was quick to adapt and easy to scale as the study changed.
- Why Clinical Trial Coordinators Are Still The Human API
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
- How Versiti Turns Data Into A Lifeline For Rare Blood Patients
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