A handful of examples are provided as to how data analysis can best be used to counter diagnostic error. Using readily available data by soliciting doctors, reviewing claims data, listening to patients, and reviewing health records is called into particular attention as the first thing to do in order to measure diagnostic error. Taking system-wide action by implementing clear policies to reduce ambiguity of responsibility and using feedback to close the calibration gap is demonstrated as an effective way to act on the data found as well.

Citation for the Full-text Article

Feldman DL. To measure and reduce diagnostic error, start with the data you have. January 5, 2022. Available at https://www.msms.org/About-MSMS/News-Media/to-measure-and-reduce-diagnostic-error-start-with-the-data-you-have

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