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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Study Start-Up Checklist For Digital Clinical Trials
Read how five Florence employees with clinical research backgrounds came together to craft a checklist designed to walk sites through the process of tech-enabled study start-up.
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Improving Quality And Efficiency In TMF Document Processing
By adhering to the principles outlined in this article, learn how teams can be better enabled to carry out efficient, high-quality processing of documents throughout the entirety of a study.
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Is Your Legacy EDC Limiting AI's Impact On Your Clinical Data?
AI can enhance clinical data workflows, but aging EDC systems hold teams back. This piece breaks down key barriers and shows what’s needed to modernize data foundations for meaningful AI adoption.
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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.
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Strategies To Minimize Participant And Healthcare Provider Burden
Patient-reported outcomes (PROs) are vital for clinical trials but can burden participants and providers. Discover strategies and practical solutions to ease these burdens and improve data quality.
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Visual Analytics And Discovery Platform For Scientific And Clinical R&D
A pharmaceutical company was looking to deploy a software solution for a small R&D group. See how an enterprise-class visualization and analytics platform enabled maximized understanding of research data.
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What Everest Group's RTSM Recognition Means For The Industry
RTSM is transforming from a basic operational tool into a strategic driver of trial efficiency. Learn why industry recognition signals a new era of innovation and competitive advantage.
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Better Data, Better Decisions
Learn how to achieve greater certainty in clinical trial financial management by leveraging adaptive, accurate, and defendable fair market value.
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Achieving Self Sufficiency In Data Collection For Optinose
Uncover how this specialty pharmaceutical company was able to gain control over its EDC environment by adopting a solution their team could use in-house.
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Ready For Remote: eCOA Adapts To A Hybrid World
Due to the global health impact of COVID-19, many aspects of daily life have been moved to a hybrid model, meaning a mix of in-person and technology-enabled interactions In this blog, learn why eCOAs are especially well-suited for hybrid clinical trials.
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