The standard process of developing the slide deck for clinical reporting events includes manually populating numbers from static outputs and a separate QC. The process is time-consuming, resource-intensive, and error-prone. To address these issues, we created “autoslideR”, an R package to automate the slide deck generation for multiple clinical reporting events. autoslideR has successfully supported slide creation for several study endorsement meetings, IMC meetings, as well as dose escalation meetings for early development, saving teams 0.5 to 4 days for the slide deck preparation compared to the time it traditionally takes.

This talk explores the key features and technical advantages of autoslideR, such as supporting customized layout creations from existing templates, as well as adding placeholder slides to accelerate final slide preparation.
Yolanda Zhou | Joe Zhu
Roche | Roche
autoslideR: Streamlining slide deck generation for clinical reporting events
The standard process of developing the slide deck for clinical reporting events includes manually populating numbers from static outputs and a separate QC. The process is time-consuming, resource-intensive, and error-prone. To address these issues, we created “autoslideR”, an R package to automate the slide deck generation for multiple clinical reporting events. autoslideR has successfully supported slide creation for several study endorsement meetings, IMC meetings, as well as dose escalation meetings for early development, saving teams 0.5 to 4 days for the slide deck preparation compared to the time it traditionally takes.  This talk explores the key features and technical advantages of autoslideR, such as supporting customized layout creations from existing templates, as well as adding placeholder slides to accelerate final slide preparation.