Abstract: In 2022, our team announced the first release of the {tfrmt} package, providing clinical programmers with the novel ability to create tables without data. With its metadata-driven engine applied to the emerging industry standard of Analysis Results Data (ARD), {tfrmt} stands out among an abundance of other R-based table-making utilities.  As we entered 2023, we sought to extend the capabilities of {tfrmt} to a wider user-base, beyond teams working solely in R. In this presentation, I will share our efforts to bridge the gap between {tfrmt} and its range of potential users. This includes the development of the companion Shiny app, {tfrmtbuilder}, which simplifies the learning process for newcomers and enables advanced customizations for non-programmers. Additionally, {tfrmt}’s new ability to generate and consume language-agnostic metadata is crucial for templating and reuse.  Attendees will learn about our approach and discover how to incorporate {tfrmt}, along with its recent enhancements, into their unique workflows.
Speaker: Becca Krouse
Affiliation: GSK
Title: Everyones Invited: A Case Study on Bridging the Usability Gap
Abstract_Sanitzed: In 2022, our team announced the first release of the  tfrmt  package, providing clinical programmers with the novel ability to create tables without data. With its metadata-driven engine applied to the emerging industry standard of Analysis Results Data (ARD),  tfrmt  stands out among an abundance of other R-based table-making utilities.  As we entered 2023, we sought to extend the capabilities of  tfrmt  to a wider user-base, beyond teams working solely in R. In this presentation, I will share our efforts to bridge the gap between  tfrmt  and its range of potential users. This includes the development of the companion Shiny app,  tfrmtbuilder , which simplifies the learning process for newcomers and enables advanced customizations for non-programmers. Additionally,  tfrmt ’s new ability to generate and consume language-agnostic metadata is crucial for templating and reuse.  Attendees will learn about our approach and discover how to incorporate  tfrmt , along with its recent enhancements, into their unique workflows.