Teal Enhancements for Cross-Industry Adoption

Research: Conduct a detailed analysis of the current teal framework and identify areas where flexibility can be introduced. A Proof-of-Concept will be provided after research. Development: Create new functionalities that allow for the re-formatting, post-processing, and decoration of outputs generated by existing teal modules.Testing: Develop test cases to ensure the new functionalities are compatible with existing modules and meet the customisation needs of different companies.Documentation: Update the framework's documentation to include instructions on how to use the new features.Training & Support: Provide training and ongoing support to users within the pharma industry to facilitate the adoption of the enhanced teal framework.

The teal framework has provided significant value to the pharma community via its power of interactive data exploration in clinical trials and beyond, together with its pre-built modules in teal.modules.clinical, which analyse standardised clinical data and generate outputs that meet general industry standards. However, the industry's varied standards and analysis needs may pose a limitation to wider adoption of teal across different companies. Sometimes this has led to the need for companies to develop their own ad hoc clinical modules from scratch to meet their specific requirements, which can be resource-intensive and inefficient. The proposed project seeks to address this challenge by enhancing features and flexibilities of the teal framework. With these enhancements, users can tailor the output formatting and presentation without modifying the core modules, ensuring that the framework remains widely usable across different companies while reducing the overhead of custom module development.