Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.

Anuj K Dalal; Jeffrey L Schnipper; Katie Raffel; Sumant R. Ranji; Tiffany Lee; Andrew D. Auerbach

Study

Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.

February 21, 2024

Dalal AK, Schnipper JL, Raffel K, et al. J Hosp Med. 2024;19(2):140-145.

View more articles from the same authors.

Diagnostic errors (DE) in the acute care setting can lead to longer lengths of stay, transfer to higher levels of care, and patient death. This article describes how the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) Study identified and classified DE that resulted in transfer to ICU or potentially preventable death. Lessons from this DE review process can be implemented in other hospitals.

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Error Analysis

Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.

Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

Reducing hospital harm: establishing a command centre to foster situational awareness.

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Identifying and classifying diagnostic errors in acute care across hospitals: early lessons from the Utility of Predictive Systems in Diagnostic Errors (UPSIDE) study.

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