Reproducible Clinical Reporting Systems: A Workflow-Oriented Extension of TLFQC for Versioned, Traceable, and Codeless Biostatistics Outputs
Keywords:
clinical reporting, reproducibility, TLFQC, version control, traceability, codeless biostatistics, workflow automation, regulatory compliance, audit trail, FAIR principlesAbstract
The reliability of clinical reporting in biostatistics is increasingly challenged by the complexity of multi-study data integration, regulatory scrutiny, and the need for transparent, reproducible outputs. Traditional approaches rely on manual scripting and ad hoc validation, which introduce fragility and inconsistency across organizational boundaries. This paper proposes a workflow-oriented extension of the TLFQC framework, originally designed for automated and codeless generation of tables, listings, and figures. The extension emphasizes versioning, traceability, and governance as integral components of a reproducible clinical reporting system. By embedding TLFQC within a continuous integration and delivery pipeline, the proposed architecture enables systematic tracking of data provenance, parameter changes, and output evolution across study milestones. The system supports both regulatory submission requirements and internal audit readiness through immutable audit trails and role-based access controls. A codeless interface lowers the barrier for biostatisticians and clinical programmers, reducing reliance on ad hoc R or SAS scripts while maintaining flexibility for complex analytical workflows. Structural trade-offs between flexibility and reproducibility are examined, including the tension between GUI-driven specification and version control of analysis definitions. The paper further explores deployment sustainability, robustness under varying data formats, and fairness implications related to standardization of output representation across diverse therapeutic areas. Policy and governance considerations are discussed in the context of 21st Century Cures Act and FDA guidance on computerized systems. The proposed extension positions TLFQC not merely as a point solution but as a foundational layer for reproducible, auditable, and interoperable clinical reporting infrastructure.
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