Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data
Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data
批准号:
346592
负责人:
Rochefort Christian
金额:
$22.28万
依托单位:
依托单位国家:
加拿大
项目类别:
Operating Grants
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-03-01 至 2020-03-01
中文摘要
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英文摘要
Adverse events (AEs) are injuries caused by medical management rather than by the underlying condition of the patient. AEs are estimated to occur in 2.9% to 16.6% of all acute care hospitalizations, and studies have suggested that 30% to 58% of all AEs ar
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海外基金