Patient Recruitment
Increase the probability of your trial design’s success with KerusCloud’s patient recruitment feature. Simulate, analyse, and visualise a multitude of recruitment scenarios to address operational challenges and improve timelines and budgets.
Patient Recruitment
KerusCloud can be used to generate highly realistic synthetic datasets for use in a wide variety of analytics applications in the life sciences sector and beyond. Synthetic datasets provide a realistic alternative, describing the characteristics of subject-level data without revealing protected information. This allows them to be shared and used freely without raising privacy concerns.
Bridge the gap between theory and practice
KerusCloud enables you to run simultaneous simulations of complex study designs with scenarios involving different recruitment rates, to see the impact and plan for the best trial and patient outcomes.
Explore the impact of different recruitment scenarios
Predict how long it will take to recruit the right patient population and how it will affect your timelines. With KerusCloud, you can simulate multiple recruitment scenarios and gain an in-depth understanding of resulting challenges, so you can overcome barriers by adjusting your approach before your study’s launch.
Mimic common patient recruitment constraints
Customise your operational constraints to align with study objectives, business goals, and regulatory standards. KerusCloud quantifies results from each recruitment decision and enables you to run simulations for multiple sites in different regions, exploring the impact of varying recruitment rates in each one. That way you can factor in recruitment alongside the other key study design choices you make, ensuring the best overall approach for study success.
Optimise your trial design for the best outcomes
Our drill down data visualisations allow you to explore the impact of your decisions and quickly understand how each recruitment profile influences your study’s success. So, you can make evidence-based choices to de-risk and optimise your clinical trial—reducing costs, development time, and patient burden.
Common questions which can be answered using KerusCloud’s Patient Recruitment functionality include:
Interested in unlocking the full potential of your sensitive data? Book a meeting with our Statistical Consulting team to discover how we can support this.
KerusCloud SDG can be used to support many applications including:
- Market research and business intelligence
- Testing and validating software products and systems
- Building and testing algorithms
- Predictive modelling, machine learning and AI
