Using electronic medical record data to report laboratory adverse events
نویسندگان
چکیده
منابع مشابه
Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data: a validation study protocol
BACKGROUND Adverse events (AEs) in acute care hospitals are frequent and associated with significant morbidity, mortality, and costs. Measuring AEs is necessary for quality improvement and benchmarking purposes, but current detection methods lack in accuracy, efficiency, and generalizability. The growing availability of electronic health records (EHR) and the development of natural language pro...
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BACKGROUND Adverse events are associated with significant morbidity, mortality and cost in hospitalized patients. Measuring adverse events is necessary for quality improvement, but current detection methods are inaccurate, untimely and expensive. The advent of electronic health records and the development of automated methods for encoding and classifying electronic narrative data, such as natur...
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BACKGROUND Attention to the problem of adverse events increases worldwide. The present study aimed to evaluate inter-rater reliability of medical record reviews of adverse events in the Thai context. MATERIAL AND METHOD A total of 279 inpatient records were reviewed by 23 clinical auditors. Each record was examined independently by 3 auditors using a standardised review form. Agreements on th...
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INTRODUCTION Medical Emergency Teams (METs), also known as Rapid Response Teams, are recommended as a patient safety measure. A potential benefit of implementing an MET is the capacity to systematically assess preventable adverse events, which are defined as poor outcomes caused by errors or system design flaws. We describe how we used MET calls to systematically identify preventable adverse ev...
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ژورنال
عنوان ژورنال: British Journal of Haematology
سال: 2017
ISSN: 0007-1048
DOI: 10.1111/bjh.14538