Key Features
OVERVIEW
Leveraging Advanced AI, Our Investigator Grant Forecasting Project Aims to Predict and Prescribe Outcomes for Clinical Trial Planning and Execution. By Aggregating Public, Commercial, And Sponsor Trial Data, Our Models Optimize Site Selection, Patient Enrollment, And Study Timelines. Key Milestone Attributes Such as Site Activation, FPI, LPI, LPLV, And Study Costs Are Incorporated to Provide the Feasibility Team with Actionable Insights. Our AI Models Generate Targeted, Ranked Lists of Investigators and Sites, Enhancing Decision-Making and Ensuring Efficient Study Conduct.
01.
Trial Feasibility Module
Enables evidence-based decision-making by analyzing various factors to identify suitable domestic and global sites for clinical studies.
02.
Budget Forecasting Module
Provides accurate budget forecasts, ensuring efficient allocation of resources and cost optimization throughout the trial lifecycle.
03.
Investigators Management Module
Utilizes algorithms to identify top-performing investigators and sites, facilitating efficient investigator recruitment and study planning.
04.
Study Troubleshooter Module
Monitors and analyzes key performance indicators (KPIs) to predict trial outcomes and intervene proactively in case of deviations or challenges.
05.
Automated Alerts and Reminders
Sends automated notifications and reminders about upcoming deadlines, application updates, and required actions, helping investigators stay organized and on track.
06.
Reforecasting Capabilities
The system updates projections in real-time by incorporating the latest study data inputs. This ensures forecasts remain current and accurate developments.
