Navidence provides a Real World Evidence (RWE) Design platform, RWE Sherpa™, that utilizes Computable Operational Definitions (CODefs) to streamline the identification and qualification of relevant real-world data sources for research needs. The platform addresses the inefficiencies of manual methodologies in RWE Design, enabling researchers to effectively match data solutions to specific study requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Real-world evidence (RWE) researchers face challenges in navigating the increasing complexity and volume of real-world data (RWD) sources. Defining "fit-for-purpose" RWD and identifying the best data solutions for specific research needs are often inefficient, manual processes. Existing methodologies lack the technology to consistently qualify RWD sources in a standardized, unbiased manner tailored to the RWE study's purpose.
Solution
Navidence offers RWE Sherpa, a platform designed to streamline RWE design by enabling users to create and manage a library of Computable Operational Definitions (CODefs). The platform facilitates the efficient navigation, qualification, and matching of RWD sources to specific study requirements and stakeholder expectations. By automating the process of defining data needs and assessing RWD solutions, RWE Sherpa aims to reduce the time and cost inefficiencies associated with RWE design in the age of health data. The platform supports the establishment of strategies for utilizing RWD sources to meet study needs.
Target Audience
The primary target audience includes RWE researchers and organizations seeking to optimize RWE design and RWD assessment through technology.
Features
- Centralized library for creating and managing Computable Operational Definitions (CODefs)
- Streamlined workflow for identifying and qualifying relevant real-world data sources
- Matching capabilities to align data solutions with specific study requirements
- Support for establishing RWD utilization strategies