AI-Powered Clinical Data Explorer
AI-Powered Clinical Data Insights
Click here to view!
Clinical Data Explorer
An AI-powered tool for exploring and querying clinical trial data using natural language. Connects to your clinical data sources and allows you to ask questions in plain English, generating insights and reports on the fly.
- • Technology Stack: Model Context Protocol, LLM APIs, Streamlit UI, DuckDB in-memory analytics
- • Key Features: Out of the box visualizations and tabular summaries for study/sites, downloadable reports in word and excel
- • Intuitive UI: Ability to explore raw datasets alongside outputs, and viewable metadata
- • Business Value: Rapid turnaround for exploratory analytics and data discovery in clinical data environments
Enrollment Projections
App for Customized Enrollment Models
Click here to view!
Predictive Enrollment Model for Clinical Trials
A flexible approach to model multi-site enrollment using real world parameters
- • Technology Stack: R and Shiny for web application development, ShinyApps for hosting
- • Key Features Out of the box visualizations and tabular summaries for study/sites, adjustable parameters
- • User Defined Parameters: User defined site level enrollment rate estimations, variable start dates using a simple csv template
- • Seasonality Considerations: Adjustability for seasonal factors like public holidays and vacation month multipliers
Reports and Data Downloader
App for data discoverability, Reporting and Access
Click here to view!
Flexible Data Discoverability and Reporting
A simple yet scalable demo app that allows users to discover and download data from a sample dataset.
- • Technology Stack: R and Shiny for web application development, ShinyApps for hosting
- • Feature add-ons:App can be expanded to include permissioned dataset level access, filtering capabilities and visualizations
- • Variety of file types:Can be extended to support a variety of file type downloads including csv, xlsx, pdf, etc.
- • Performance: Deployement on modern cloud services can scale to handle large datasets and high traffic (thousands of participants' data)
- • Business Value: Enabled real-time study data access and elimination of file sharing / reports over emails