About
The CIMS Dynamic Data Monitoring (DDM) engine utilizes machine learning and artificial intelligence (AI) technology in an integrated, closed system with EDC and IWRS.
With the CIMS DDM platform, you can dynamically monitor and optimize your clinical trials — overcoming the limitations of classical adaptive group sequential designs to monitor trials.
As new data is accumulated, the system will automatically compute the score function for chosen endpoints, confidence intervals and conditional power; update stopping boundaries; display on the "Trial Radar" screen, and perform simulations to predict the trend of a clinical trial.
This product is intended for
- Statistician
- Clinical Manager
- Data Scientist
- Data Analyst
- Drug Safety Manager
- Drug Safety Specialist
- Clinical Research
Media
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DDM working illustration
An ECO system to auto-calculate the cumulative treatment effect (safety or efficacy) and display it on the "Trial Radar" screen for an IDMC to review.
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Sample size re-estimate for a hopeful study
Monitoring an ongoing hopeful trial and performing sample size re-estimation. It makes the study eventually success.
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A successful study
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A hopless study
Featured customers of DDM: Dynamic Data Monitoring
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