Are you ready to perform Real World Evidence Design in the Age of Data?

The Problem.

The increase in quantity of RWD use cases and complexity of the RWD landscape can be challenging for RWE Research teams to navigate.

In particular, challenges arise in defining both what Fit-for-Purpose means during RWE Design, and identifying the best RWD solutions that are match for that purpose.

RWE Researchers currently overcome these challenges using analogue methodologies which are highly manual and resource inefficient. 

Not only is there a need for help to navigate this landscape, there is the challenge of ensuring the RWD sources are qualified in a consistent, unbiased, and standards-based way, specific to the RWE study’s underlying purpose.

RWE Researchers do not currently have effective technologies available to help them harness the Power of Computable Operational Definitions (CODef) for RWE Design and RWD Assessment.

The Solution.

Navidence enables RWE organisations to efficiently adapt to the ever-increasing ecosystem of RWD sources by providing a transformative RWE Design platform to create and manage a library of Computable Operational Definitions (CODefs) tailored to your research needs. 

Our intuitive RWE Sherpa^TM platform takes the guesswork out of defining your RWE study’s data needs, navigating and qualifying RWD sources & solutions and matching them directly to RWE study requirements and stakeholder expectations.

RWE Sherpa^TM supports RWE Researchers to establish the strategy for use of those RWD sources & solutions to meet the study’s needs.

RWE Sherpa^TM solves for the existing time and cost inefficiencies impacting RWE Researchers performing RWE Design in the Age of Health Data.