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首页> 外文期刊>The Joint Commission Journal on Quality and Patient Safety >The Use of Patient Digital Facial Images to Confirm Patient Identity in a Children’s Hospital’s Anesthesia Information Management System
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The Use of Patient Digital Facial Images to Confirm Patient Identity in a Children’s Hospital’s Anesthesia Information Management System

机译:患者面部图像数字的使用确认病人身份的儿童医院的麻醉信息管理系统

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摘要

Introduction: Patient identification errors, albeit rare, continue to occur despite the implementation of the Universal Protocol. Researchers at a tertiary care children’s hospital hypothesized that introduction of a digital photograph to the preanesthesia checklist would reduce wrong-patient charting and near-miss events around the induction of anesthesia. Methods: In late 2014 a digital facial image obtained either on arrival to the preoperative preparation area or for inpatients, on admission to the hospital, was added to the initial verification screen (anesthesia sign-in) of the anesthesia information management system (AIMS). This verification process includes visual inspection of the patient’s facial image and checking the patient’s hospital ID bracelet for the patient’s name, birthdate, and hospital number against the AIMS verification page. Wrong-patient charting and near-miss events were reviewed weekly by the electronic health record (EHR) perioperative team through analysis of AIMS records and through provider self-report to the institution’s Anesthesia Incident Reporting System. Results: Between January 1, 2015, and July 1, 2018, 95,146 patients (42,255 females; 52,891 males) were anesthetized in the hospital with only one instance of charting on the wrong patient in the AIMS. A Wilson score interval would give a percentage of 0.001% (95% confidence interval: 0.0002%–0.006%). Therefore, we are 95% certain that the true rate of charting on the wrong patient is below 1 in 16,794 patients. Conclusion: At the induction of anesthesia, the addition of a current digital facial image to the Universal Protocol may be useful in preventing misidentification and mischarting on the anesthetic record.
机译:作品简介:病人识别错误,虽然罕见,尽管继续发生实现的通用协议。研究人员在三级护理孩子的医院假设引入数码照片preanesthesia清单减少错误的病人图表和靠近弹吗事件在诱导麻醉。方法:在2014年末数码面部图像获得在术前的到来区域或准备住院患者,入院时去医院,被添加到最初验证屏幕(麻醉登录)麻醉信息管理系统(目标)。这验证过程包括视觉检查患者的面部图像检查病人的医院手镯病人的名字、生日和医院针对的目标是验证页面数量。病人图表和靠近弹事件综述了每周的电子健康记录(EHR)围手术期的团队通过分析目标记录和通过提供者自我报告机构的麻醉事故报告系统。2018年7月1日,95146名患者(42255名女性;52891名男性)在医院麻醉只有一个实例的图表是错误的病人的目标。将一定比例的0.001%(95%置信区间:0.0002% - -0.006%)。确定真实的通胀率的图表错误的病人是低于1 16794名患者。结论:在麻醉诱导,添加当前数字面部图像通用协议可能是有用的在预防误认和mischarting麻醉记录。

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