DiMe’s sDHT Adoption Navigator helps clinical teams move from guidance to action, but the real test is whether organizations use it early enough to matter.
- Why Clinical Trial Data Cleaning Must Go Continuous (And How To Do It)
- What Clinical Analytics Solutions Are Shaping Clinical Research
- Sites Are Building Their Own Tech – SCRS On What That Means
- Human-In-The-Loop In AI Validation And Control: From Principle To Practice
- When The System Breaks, Who Pays? SCRS On Site Tech Gaps
- HTA, Digital Twins, And Building Clinical Tech That Lasts
- Real-World Evidence And Wearables Are Reshaping Trial Tech
- Navigating Elsa's AI Transition: Practical Guidance To Safeguard Confidential Information (Part 3)
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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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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Leveraging RWD With AI To Enable Diverse Recruitment In Clinical Trials
A diverse cohort of clinical research participants is vital to developing studies that are representative of the target population. Real-world data (RWD) can be paired with AI to integrate unstructured data.
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Gradually Investing In Direct Data Capture Is Inevitable
Given study decentralization and the many electronic sources of data now available, it is time for sponsors and contract research organizations to face the inevitable: EDCs need to be “sunsetted.”
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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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The Value Of Tokenizing Clinical Development Data
Most use cases of real-world data don’t require tokenization to deliver value. However, given industry challenges and the influx of information, see how ROI can be achieved from trial data tokenization.
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One Day, Clinical Trials Will Represent The Real World
What needs to happen for RWE to reach its full regulatory potential? We discussed this with industry leaders during the One Day Summit, and here are some key takeaways.
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Accelerating Clinical Data Review With Traceable Workflows
Clinical data review needs centralized access and traceable workflows. Leveraging AI-automation and real-time collaboration drives faster, better-informed decisions and reduced compliance risk.
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Advancing ALS Research With Digital Health Technologies
Explore how wearable, sensor-based digital health technologies can revolutionize ALS patient monitoring by reading our latest insights from the Digital Health Monthly scientific webinar series.
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Breaking Down Barriers: Why Closed Technology Ecosystems Are Holding Back Clinical Research
Explore the barriers created by closed technology ecosystems and the importance of open, interoperable solutions for advancing healthcare.
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Strengthening eClinical Data Integrity: Data Monitoring
As the use of eCOA expands to incorporate more submission-critical elements, especially key endpoints and factors contributing to protocol analyses, learn how customized compliance strategies are more important than ever to ensure data integrity.
- DiMe's Navigator: Why Teams Still Stall On Digital Endpoints
- Digital Endpoints Are Ready. Clinical Development Isn't
- Why Clinical Trial Data Cleaning Must Go Continuous (And How To Do It)
- Sites Are Building Their Own Tech – SCRS On What That Means
- When The System Breaks, Who Pays? SCRS On Site Tech Gaps
RECENT NEWSLETTERS
- 05.07.26 -- How AI, ICH E6(R3) & RWD Are Reshaping Clinical Trials
- 05.02.26 -- Best Of April: AI In Clinical Trials — What Working
- 04.30.26 -- AI, RWE & Predictive Analytics Are Reshaping Trials
- 04.23.26 -- Smarter Trials Start Here: Data Quality, AI & Infrastructure Insights
- 04.16.26 -- 5 eTMF Questions, Agentic AI's Real Impact On Clinical Trials & More