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Generating EMR-Based Algorithms to Identify Hospital Adverse Events for Health System Performance Evaluation and Improvement

Generating EMR-Based Algorithms to Identify Hospital Adverse Events for Health System Performance Evaluation and Improvement
生成基于 EMR 的算法来识别医院不良事件，以进行卫生系统绩效评估和改进
批准号：
435128
负责人：
Xu Yuan
金额：
$86.66万
依托单位：
University of Calgary
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-10-01 至 2024-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=435128&lang=en
关键词：
Adverse Events Electronic Medical Records Knowledge Translation Machine Learning Natural Language Processing Patient Safety System Performance

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中文摘要
翻译
在医疗保健中，患者安全通常通过可能发生的不良和意外事件来量化。捕获不良事件是了解医疗保健质量的关键组成部分，已在许多国家进行了广泛研究。
英文摘要
In healthcare, patient safety is often quantified by the occurrence of adverse and unintended events that may befall them. Capturing adverse events is a critical component of understanding the quality of health care and has been widely studied in many cou
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海外基金