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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Database To Advance Patient-Focused Drug Development With DHTs
Uncover how the Patient-Focused Digital Measure Report Database resource will leverage patient-reported data to highlight specific indications where DHTs can provide meaningful, patient-centric measures.
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Improving Clinical Trial Performance Through Central eSource
See how a top five pharmaceutical company leveraged our esource platform to enhance site performance, improve data consistency, and enable remote monitoring.
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The Real Reason Sites Haven't Digitized
Reducing site burden doesn’t always require major change. Streamlining a single workflow can improve efficiency, strengthen compliance, and give site staff more time to focus on patients and trial execution.
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Harnessing The Power of Real-World Data In Clinical Trial Planning
As the availability of RWD grows, it creates opportunities for sponsors to use true patient insights to support their clinical strategy and bring treatments to patients in need.
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A Guide To RTSM For Clinical Trials
Looking ahead, the evolution of RTSM in clinical trials points towards cloud-based solutions, heightened emphasis on patient safety, and greater collaboration among stakeholders. Learn how you can prepare.
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Medical Device Clinical Trials: Key Considerations For Sponsors And CROs
Medical device trials must align risk class, regulations, and study design. Strong oversight, data, and proactive safety planning support reliable evidence and market approval.
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Top 5 Dos And Don'ts Of RTSM
Discover best practices and common pitfalls for sponsors and vendors in RTSM as well as how to optimize your study by leveraging vendor expertise, avoiding delays, and embracing innovation.
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10 Roadblocks To Traditional Vendor Selection And How ClinAI Solves Them
Vendor selection in clinical trials is a pivotal process. Explore ten widespread inefficiencies in the current approach and how you can resolve them.
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Enhancing Participant Payments: A New Approach
Managing participant payments in clinical trials is a multifaceted challenge impacting participants, sites, and sponsors alike. Delve into the intricacies and numerous hurdles faced in this process.
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The Role Of EDC In Real-Time Decision-Making During Adaptive Trials
Adaptive clinical trials are redefining how research evolves, relying on the ability to capture, clean, and act on data the moment it’s generated.
RECENT NEWSLETTERS
- 06.25.26 -- How AI, Data, And Workflows Are Fixing Trial Execution
- 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
- 06.06.26 -- Best Of May: AI Risk, CRO Strategy, And Trial Cost Control
- 06.04.26 -- Why Clinical Execution — Not Tech — Is Trials' Biggest Risk