Technical Projects

Showcasing innovative solutions in clinical data science and technology. Projects shown here are non-proprietary and available for use by the public.

Predictive Enrollment Model
Enrollment Projections
App for Customized Enrollment Models
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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
ETL Pipeline
Reports and Data Donwloader
App for data discoverability, Reporting and Access
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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

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