Site Management
Selecting and managing the right sites is key to trial success. Data-driven insights improve site performance and resource allocation.
Challenges
Difficulty in identifying underperforming sites
- Without timely, granular data, it's hard to spot sites that lag in recruitment or quality. This leads to prolonged timelines and inefficient use of resources.
Lack of visibility into site-level performance
- Trial sponsors often lack real-time insights into individual site activities and metrics. This obscures performance trends and hampers proactive intervention.
Solution
Accurate site feasibility assessments
- Powered by historical performance data, patient availability, investigator engagement, and operational readiness—help identify sites that are more likely to recruit on time, adhere to protocol, and submit clean, timely data.
Implement site scoring models
- Scoring models evaluate sites based on historical performance, enrolment speed, protocol compliance, and data quality. This helps identify high-performing sites early in the planning process.
Use geospatial analytics and performance-based budgeting
- Geospatial tools help locate optimal sites based on patient density and disease prevalence, while performance-based budgeting aligns site payments with actual output. These methods ensure smarter resource allocation and incentivize better results.
Business Benefits
Improves site selection
- Data-backed insights enable the identification of the most suitable sites for a given trial. This boosts recruitment efficiency and trial reliability.
Increases productivity and reduces operational costs
- Proactive site management ensures smoother trial operations and minimizes waste. Ultimately, this shortens timelines and lowers overall study expenses.
Helps get to database lock faster
- Well-selected sites typically generate fewer queries and protocol deviations, reducing the burden on data cleaning efforts. Additionally, sites with experienced staff and better infrastructure are more efficient in data entry, query resolution, and compliance with timelines—all of which contribute directly to a faster, cleaner database lock.
