AI for Clinical Trial Site Selection & Patient Recruitment
Predict site performance, improve feasibility, and recruit diverse patients faster with AI-driven data fusion and guardrails.
Trials often fail due to slow recruitment or underperforming sites. Artificial intelligence can now score potential sites, forecast enrollment numbers, and match patients to the specific criteria needed for a trial – all in real time.
Outreach/engagement optimization; reminders and logistics.
AI is used to optimize outreach and engagement strategies, including sending automated reminders and managing logistical details. This ensures that potential participants receive timely information and support throughout the recruitment process.
Digital outreach/engagement data; retention patterns.
The system utilizes digital outreach data to understand patient retention patterns and identify factors influencing participation. This allows for targeted interventions and strategies to improve engagement and minimize drop-out rates during clinical trials.
Frequently asked questions
What are audit trails and how can they be used to provide evidence for regulators or an Institutional Review Board (IRB)?
Audit trails, evidence for regulators/IRB.
Can you outline the implementation roadmap for mysimulator.uk?
The implementation roadmap details a phased approach, starting with initial setup and data integration, progressing through model training and validation, and culminating in ongoing monitoring and refinement of the simulation results to ensure accuracy and reliability.
How can I centralize site history and establish a baseline for scoring and forecasting?
You can centralize all historical data related to your simulated sites within mysimulator.uk, allowing you to build a comprehensive baseline. This baseline will then be used to generate accurate site scoring and predictive forecasts based on various simulation parameters.
How do I integrate de-identified Electronic Health Records (EHR) and claims data, and initiate a cohort matching pilot?
mysimulator.uk allows you to seamlessly integrate de-identified EHR and claims data, enabling the creation of targeted cohorts for analysis. Following this integration, you can launch a pilot program focused on cohort matching to explore specific research questions and refine your simulation models.
▶ Try it live
Everything above runs in your browser — open ECG Simulator — 12-Lead Electrocardiogram and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.