Beyond TLG Generation
R Consortium Submission Working Group have demonstrated that modern open-source ecosystems are capable of transforming reporting specifications into reproducible and executable reporting systems
Introduction
Clinical reporting is often perceived as a programming task. Data are collected, analysis datasets are derived, and statistical outputs are generated for study reports and regulatory submissions.
However, practical experience shows that clinical reporting is fundamentally a specification challenge rather than a coding challenge.
Why Clinical Reporting Is Harder Than It Looks
At first glance, clinical reporting appears straightforward.
Data are collected. Analysis datasets are created. Tables, Listings and Figures (TLGs) are generated.
The difficulty is not generating outputs.
The difficulty is generating the correct outputs consistently, reproducibly and in accordance with predefined specifications.
The Hidden Importance of Table Shells
Experienced clinical programmers know that reporting begins long before code is written.
It begins with the table shell.
A table shell defines: row structure, column structure, population definitions, statistical summaries, formatting rules, footnotes, decimal precision.
The shell therefore represents a reporting specification rather than a draft output.
The objective is to translate reporting specifications into validated outputs.
The Emergence of Metadata-Driven Reporting
Historically, reporting systems were often built around individual programs and manually maintained templates.
Modern reporting frameworks increasingly separate: specifications, metadata, implementation.
This separation enables greater consistency, traceability and reuse. In recent years the R ecosystem has evolved significantly in this direction.
Several open-source initiatives now provide reusable components covering: dataset derivations, metadata management, reporting layouts, transport file generation, interactive review environments
Lessons from the R Consortium Submission Working Group
The R Consortium Submission Working Group was established to demonstrate that open-source technologies can support regulatory reporting workflows.
Over time, a sequence of submission pilots gradually expanded the scope of the demonstrations.
The objective was not merely to create individual outputs but to evaluate complete submission-oriented workflows.
The pilots demonstrate progressive maturation of open-source submission capabilities.
Practical Demonstration: From Shell to Output
To illustrate the concepts, an example laboratory reporting workflow was implemented.
The workflow included: SDTM-style laboratory data, ADLB derivations, analysis variables, shift tables, listings, TLG outputs, Quarto reporting, XPT exports.
The objective was to demonstrate how a predefined specification can be transformed into a reproducible output.
Reporting systems transform specifications into outputs.
Beyond Static TLGs
Most reporting systems still produce static deliverables: PDF, RTF, DOCX.
These formats originated in paper-based review environments.
Modern technologies increasingly support alternative approaches. Examples include: HTML reports, interactive Quarto outputs, Shiny review applications, reviewer dashboards, patient-level drill-down tools.