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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Reducing Risks And Accelerating Study Startup Through An eCOA Library
Find out how the shift towards a more patient-centric drug development landscape has made Clinical Outcome Assessments (COAs) an increasingly necessary and often required tool to gather patient experience data in most trials today.
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eCOA Best Practices For Crohn's And UC Trials
Around 200 trials annually use tools like the Crohn’s Disease Activity Index (CDAI) and Modified Mayo Score (mMS) to measure clinical remission. Implementing these in eCOA systems requires careful planning.
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Empowering Oncology Research With The Right Technology Solutions
Explore how advanced technology solutions have the potential to simplify the operational aspects of oncology trials.
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Own Your Data, Accelerate Your Cure
Move from passive donor to active innovator. Explore how patient communities are building their own research infrastructure and using AI to bypass traditional barriers to drug development.
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How Can Electronic Data Capture Better Serve Decentralized Clinical Trials?
Newer, nimbler technology providers face a steep climb if they want to convince sponsors to sunset traditional EDC in favor of direct data capture only, or a unified decentralized trial platform that everything plugs into. Will EDC evolve to fix its existing problems, or will a different type of decentralized trial platform (or single platform model) replace pick-and-pull, add-and-subtract modules of clinical trial technology?
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The Impact Of Clinical Trial Payments On Site-Sponsor Relationships
The sponsor-site relationship relies on good faith, but late payments sow mistrust. Experts from BMS and CenExel Clinical Research explain how consolidating payment systems benefits both parties.
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Unlocking Scalability In Pharma With AI
Uncover how artificial intelligence and machine learning could emerge as the most pivotal technologies of our era, with the potential to facilitate scalability in pharmaceuticals and other industries.
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Simplifying The Vineland-3: Assisting Raters, Reducing Burden, And Improving Data Quality
Electronic versions of both Vineland-II and Vineland-3 have been developed with features to improve data accuracy and consistency such as built-in prompts, item-specific scoring guidance, and automated calculations.
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Improving Site Efficiency With Automated Drug Resupply And Forecasting
Interactive Response Technology (IRT) can transform site operations by replacing error-prone manual processes with real-time, automated systems that relieve some of the burden on trial sites.
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How FAIR Data Principles Deliver Clinical Success
Prioritize data management that adheres to FAIR principles — findable, accessible, interoperable, and reusable — to gain operational insights that enable quick decisions and ensure participant well-being.
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