Overview
Patient recruitment and retention are the biggest challenges in clinical trials, often causing delays and cost overruns. This 4-week POC applies AWS AI/ML models to historical trial data to identify optimal trial sites, predict recruitment challenges, and improve retention strategies. What’s Included: • AWS Bedrock Model Deployment – AI-driven insights on trial site selection. • Predictive Recruitment Analysis – Identify patient dropout risks and recommend engagement strategies. • Custom Dashboard & Report – A working visualization of AI-driven trial optimization insights. •** Implementation Plan** – Roadmap for production deployment in your AWS environment.
Highlights
- AI-Powered Site Selection – Reduces trial delays by improving recruitment targeting.
- Predictive Dropout Modeling – Uses ML to enhance patient retention & engagement.
- Compliance-Ready Trial Optimization – FHIR, HIPAA, and GDPR-aligned data workflows
Details
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