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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Measure Dx: Implementing pathways to discover and learn from diagnostic errors
Andrea Bradford1,2, Marjorie Shofer3, Hardeep Singh1,2
1Department of Medicine, Baylor College of Medicine, 7200 Cambridge St., 8th Floor, Houston, TX 77030, USA.
Abstract:
Despite the high frequency of diagnostic errors, multiple barriers, including measurement, make it difficult learn from these events. This article discusses Measure Dx, a new resource from the Agency for Healthcare Research and Quality that translates knowledge from diagnostic safety measurement research into actionable recommendations. Measure Dx guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. Wider adoption of Measure Dx, along with the implementation of solutions that result, can advance new frontiers in reducing preventable diagnostic harm to patients.
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