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Large-scale audits have been hugely successful in gathering large volumes of data in short spaces of time to inform research and quality improvement (QI) endeavors and policy development.
Built on the model of “citizen science,” they harness the efforts of thousands of collaborators to approach a specific challenge, using a collaborative and cost-effective approach.
Key points for success include choosing topics that are important to collaborators, establishing networks that enable delivery, and keeping the data set as small as possible.
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