RWE Study Design and RWD Assessment are commonly performed in silo’s due to the time and resource constraints. RWE Study Design elements are typically firstly aligned with scientific literature, and then subsequent RWD assessment is performed to determine the viability of obtaining effective data and generate evidence from a given dataset. This can give rise to rework of study designs based on the results of RWD assessment.

 

Navidence offers a platform not only for creation of Computable Operational Definitions (CODefs) to allow a tech-optimized approach to RWD Assessment, but also for the collection and creation of a library of results on those RWD sources assessed against those CODef enchanced criteria. This allows RWE teams to design with confidence, utilizing those study design elements that are likely to be available in the final data assets you wish to utilise for your project.

By using the Navidence platform to create and curate a library of Computable Operational Definitions (CODefs), as well as results of RWD assessments, RWE Teams can enhance collaboration by creating a central source of RWE Design knowledge.

RWE Teams can continually enhance and enrich the collective knowledge of Operational and Data definitions in each area of research, transform them into computable format to empower RWE Design and RWD Assessment, and distribute this knowledge swiftly and seamlessly across your organisation.

By utilizing CODefs within your RWE Sherpa^TM library, you can ensure that you have consistent robust scientific justifications for each Conceptual and Operational Definition (CODef) used within your study protocol when submitting to regulators. RWE Researchers can also ensure the consistent application of these across all studies within your field of RWE Research.

By utilizing CODefs within your RWE Sherpa^TM library, you can ensure that you can provide queries to your data partners that are aligned with the data, ensuring your partners feel they are always fairly assessed against study requirements.

Enhancing transparency and consistency in your Real World Data partnerships can significantly improve speed and accuracy of RWD Assessment overall.