Discover how shadow AI appears in clinical trial technology and learn how to develop a practical control plan that protects participants and data without slowing innovation.
- The Integration Dilemma: Who Decides Which Tech Stack Wins?
- Why Clinical Trial Sites Are Drowning In Tech Chaos
- The Risks And Unresolved Rules Of Real-Time Clinical Trials
- What Real-Time Clinical Trials Demand From Your Tech Stack
- The FDA's RTCT Push: What It Is; Why It Matters
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Overcoming 5 Challenges Of Implementing eClinical Technologies
Assess five common pitfalls trial teams face when incorporating new technology and identify potential solutions to mitigate the common risks.
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Bespoke RTSM Systems Empower Precision Medicine
Randomization & trial supply management (RTSM) are critical functions of clinical trial IRT systems, supporting patient randomization plus managing drug inventory, site resupply, and participant dispensation.
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5 Key Considerations For Implementing Digital Technologies To Support Patients In China
In this post, gain insight into five key considerations that will help support patients in China.
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Everest Group Life Sciences EDC Products PEAK Matrix® Assessment 2024
This Everest Group report examines Medidata’s Rave EDC and its impact on the clinical development value chain of life sciences.
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How Electronic Source Data Revolutionizes Clinical Research
By increasing interoperability and embracing digital solutions, see how the research community can maximize the benefits offered by eSource, leading to improved trial outcomes and data quality.
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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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Clinical Data Like You've Never Seen It Before
In a recent webinar, experts from Revvity Signals Software explored how solutions like its Spotfire platform enable better, more streamlined clinical studies.
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Broadening Eligibility Criteria Among Cancer Clinical Trials Patients
This study challenges the commonly applied exclusionary approach to clinical trials, particularly cancer trials, that underrepresent certain populations and limit the generalizability of research advancements.
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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.
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Electronic Clinical Outcome Assessments (eCOA) In Clinical Trials
Manual outcome tracking creates compliance gaps and data quality risks. Electronic assessments help trial teams capture cleaner data, faster.
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- 07.03.26 -- Best Of June: AI, Data, And What's Fixing Trial Execution
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- 06.18.26 -- AI, eSource, And Site Tech: What's Actually Working In Trials
- 06.11.26 -- AI Governance, Site Tech Risk, And Trial Efficiency Gains