Speaker
Description
In data-intensive industries like pharmaceuticals, the ability to move seamlessly from population-level summaries to individual data points is critical for valid insight generation. However, enabling faster, more efficient exploratory analysis and regulatory delivery of clinical trials insights is challenging and difficult to scale. This talk introduces {teal}, recently released on CRAN with the first major version, designed to build highly flexible, modular Shiny applications for exploratory data analysis.
We will explore the technical architecture of {teal}, focusing on how it leverages a "module-of-modules" approach to allow app-developers to assemble complex interfaces from reusable components. By abstracting the UI, data filtering logic, and reporting, {teal} allows developers to focus on analysis content rather than application boilerplate. Beyond interactivity, we will discuss how the reproducibility of any state of the interactive analysis is guaranteed by the reporting feature that captures and exports interactive findings into reproducible documents.
We will conclude with lessons learned from piloting these modules in large-scale clinical environments and discuss the framework's extensibility to other domains requiring rigorous, interactive data review for preparing it for the future.
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Gemini AI was used to generate the abstract from a previous abstract. Text was reviewed after too.
Additional Material or Paper
PHUSE Connect US 2026; DV09: Empowering Clinical Data Review with Interactive Patient Level Visualisations in {teal}
https://phuse.s3.eu-central-1.amazonaws.com/Events/2026/US+Connect+2026/US+Connect+2026+Full+Agenda.pdf
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | Shiny, Data Visualization, Reproducibility, Modular Design |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |