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The framework focuses on considerations related to real-world evidence for IVDs.
October 8, 2020
By: Michael Barbella
The Medical Device Innovation Consortium (MDIC) has released its Real-World Evidence Framework for regulatory decision-making for in-vitro diagnostics (IVDs). Created through a collaborative process between MDIC, U.S. Food and Drug Administration (FDA), Center for Devices and Radiological Health (CDRH), and industry partners, the framework aims to help industry and FDA consider when and how real-world data might be incorporated into product development and regulatory decision-making in support of clearance or approvals of IVDs. It also outlines considerations for appropriate designs and statistical methods for generating real-world evidence (RWE) for regulatory submissions. “Understanding the accuracy of diagnostic tests requires data elements that are not as widely available as those in the therapeutic space and entails a different approach to data integration and analysis,” said Jeff Shuren, M.D., J.D., director of FDA’s CDRH. “The FDA will continue to engage with stakeholders to identify and evaluate the feasibility of different approaches and new data sources. We hope efforts to gather and assess real-world data, such as the MDIC framework, will help all of us advance these efforts.” Industry partners in creating the Real-World Evidence Framework for IVDs were Abbott Diagnostics, Genomic Health, Hologic, IBM Watson, ICON plc, Johnson & Johnson, Roche Diagnostics, Sysmex America, and Thermo Fisher Scientific. Individual experts in regulatory science and policy, epidemiology, and biostatistics also participated in the process.
In partnership with FDA, CDRH, and industry partners, MDIC has launched a COVID-19 RWE project to apply the framework. One sub-project will bring together teams from industry, FDA, integrated healthcare systems, and MDIC’s SHIELD program to link electronic laboratory data from COVID-19 diagnostic tests to electronic health records to facilitate the conduct of surveillance studies and cross-institution studies. SHIELD is designed to improve the quality, utility, and portability of electronic laboratory data by harmonizing data standards.
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