TFL Designer Case Study

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  • Manual shell creation across multiple studies and deliverables led to significant time consumption.

  • Common safety outputs required redundant programming, resulting in inefficiencies and limited scalability.

  • Ad-hoc requests were difficult to manage and often caused delays and workflow disruptions.

  • Review cycles conducted via Word and Excel introduced version control issues and hindered collaboration.

  • Updates and formatting changes had long turnaround times, affecting submission readiness.

  • Existing processes lacked scalability to meet growing submission demands and evolving regulatory needs.

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TFL Designer

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atlas

SAS Based Code Generation

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CDISC ARD & TFL Output

  • Automated TFL Creation using TFL Designer, eliminating manual shell preparation and reducing effort across studies.

  • Rapid SAS Code Generation through ATLAS, ensuring faster and consistent programming for ISS submission outputs.

  • Standardized CDISC-Compliant Outputs for seamless review and compliance, improving turnaround time significantly.

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  • The team created 223 shells in approximately 12 hours using TFI Designer templates.

  • atlas automated the generation of 84% of TFL SAS programs from ARS metadata, reducing programming time by over 40%

  • Global changes (e.g., stat updates, additional treatment arm, precision) were applied across shells in minutes.

  • Subgroup and custom outputs were created on demand. shells were added in seconds and programmed immediately.

  • 21 reviewers collaborated directly in TFL Designer with built-in commenting, tagging, and version tracking

  • Fully aligned with CDISC ARS and ARD metadata models, enabling machine-readable, auditable outputs and future Gen-Al integration

Outcomes & Impact

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    90% reduction in time to develop shells

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    40% time savings in programming through automated code generation

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    Streamlined collaboration with centralized review and approval

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    Rapid turnaround for study additions, treatment group changes, and ad-hoc requests

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    Scalable and reusable metadata framework for future submissions

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