Example Patient Profile
Adjust these illustrative inputs to see how patient dropout risk changes. These are example values only.
Example Retention Interventions
Select example interventions to see their illustrative impact on retention decay.
A demonstration of how Forge Theory could be applied to predict patient dropout risk in clinical trials using engagement signal decay modeling. Illustrative example only.
This is a proof-of-concept demonstration for illustrative purposes. Actual clinical trial retention predictions require validated data, IRB-approved methodology, and clinical expertise. Not intended for medical decisions or trial management.
Adjust these illustrative inputs to see how patient dropout risk changes. These are example values only.
Select example interventions to see their illustrative impact on retention decay.
Important: These figures represent example value estimates based on industry research on clinical trial retention. They demonstrate the potential financial impact of improved retention strategies.
Same mathematical framework applied across different domains. TrialForge represents the clinical trial application.