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Decision Support Alerts Importance of Validation

机译：决策支持警告验证的重要性

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来源
《Anesthesiology》 |2018年第2期|共3页
作者
Sessler Daniel I.;
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作者单位

Cleveland Clin Anesthesiol Inst Dept Outcomes Res Cleveland OH 44106 USA;

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原文格式 PDF
正文语种 eng
中图分类麻醉学;
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专利

1. Decision Support Alerts Importance of Validation [J] . Sessler Daniel I. Anesthesiology . 2018,第2期

机译：决策支持警告验证的重要性
2. AUTOMATED ALERTING AND DECISION SUPPORT FOR REPORTING OF PHYSIOLOGIC DETERIORATION VIA A CLINICAL ALERTING SYSTEM IN PATIENTS WITH PNEUMONIA ADMITTED TO THE GENERAL WARDS [J] . Jerng Jih-Shuin, Huang Hsiao-Fang, Chen Li-Chin, Respirology : . 2018,第Suppla2期

机译：自动提醒和决策支持通过患有肺炎患者临床警报系统对普通病房的临床警报系统进行报告
3. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system [J] . Jessica S. Ancker, Alison Edwards, Sarah Nosal, BMC Medical Informatics and Decision Making . 2017,第1期

机译：工作量，工作复杂性和重复警报对临床决策支持系统中警报疲劳的影响
4. Sepsis Alert Presentation: Developing a Framework to Optimize Alert Design for Clinical Decision Support [C] . Kristen E. Miller, Muge Capan, Pan Wu, Human Factors and Ergonomics Society;Human Factors and Ergonomics Society annual meeting . 2015

机译：脓毒症警报演示：开发优化临床决策支持警报设计的框架
5. Decline in Physicians’ Response to a Non-Interruptive Clinical Decision Support Alert [D] . Murad, Douglas A. 2021

机译：医生对非中断临床决策支持警报的反应
6. Use of machine learning to predict clinical decision support compliance reduce alert burden and evaluate duplicate laboratory test ordering alerts [O] . Jason M Baron, Richard Huang, Dustin McEvoy, 2021

机译：使用机器学习预测临床决策支持合规性减少警报负担并评估重复的实验室测试订购警报
7. Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation (Preprint) [O] . Tahmina Nasrin Poly, Md.Mohaimenul Islam, Muhammad Solihuddin Muhtar, 2020

机译：使用疾病药物相关的临床决策支持系统减少警戒疲劳的机器学习方法：模型开发和验证（预印）
8. Integration of Airborne Aerosol Prediction Systems and Vegetation Phenology to Track Pollen for Asthma Alerts in Public Health Decision Support Systems. [R] . Luvall, J. C., Sprigg, W. A., Pejanovic, G., 2013

机译：在公共卫生决策支持系统中整合空气气溶胶预测系统和植被物候学以追踪花粉的哮喘警报。

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