Premier/IHI algorithms automate process for identifying patient harm

John Martin; Glenn Crotty; Richard Bankowitz

首页> 外文期刊>Healthcare Benchmarks and Quality Improvement >Premier/IHI algorithms automate process for identifying patient harm

【24h】

Premier/IHI algorithms automate process for identifying patient harm

机译：Premier / IHI算法使识别患者伤害的过程自动化

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

An automated process for tracking rates of patient harm developed by Charlotte, NC based Premier Inc. and the Institute for Healthcare Improvement (IHI) in Boston has been tested and compared against a manual full chart review. The automated tool's results agreed with full chart review 76.2% of the time; in cases in which the results did not match, it was found that 84% had issues with coding.

机译：由北卡罗来纳州夏洛特市的Premier Inc.和波士顿的医疗保健改善研究所（IHI）开发的一种自动跟踪患者伤害率的过程已经过测试，并与手动完整图表审查进行了比较。自动化工具的结果在76.2％的时间内同意完整的图表审查;在结果不匹配的情况下，发现84％的编码有问题。

著录项

来源
《Healthcare Benchmarks and Quality Improvement》 |2009年第9期|共3页
作者
John Martin; Glenn Crotty; Richard Bankowitz;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类营养卫生、食品卫生;
关键词
No recognized standard for determining harm currently exist.; Harm data can be used to improve quality of care.; Accurate POA coding is critical to get true picture of patient harm.;

机译：当前尚无公认的确定伤害的标准。;可以使用伤害数据来提高护理质量。;准确的POA编码对于真实了解患者的伤害至关重要。;

相似文献

外文文献
中文文献
专利

1. Premier/IHI algorithms automate process for identifying patient harm [J] . Richard Bankowitz, John Martin, Glenn Crotty Healthcare Benchmarks and Quality Improvement . 2009,第9期

机译：Premier / IHI算法使识别患者伤害的过程自动化
2. Premier/IHI algorithms automate process for identifying patient harm [J] . Richard Bankowitz, John Martin, Glenn Crotty Healthcare Benchmarks and Quality Improvement . 2009,第9期

机译：Premier / IHI算法使识别患者伤害的过程自动化
3. Premier/IHI algorithms automate process for identifying patient harm [J] . John Martin, Glenn Crotty, Richard Bankowitz Healthcare Benchmarks and Quality Improvement . 2009,第9期

机译：Premier / IHI算法使识别患者伤害的过程自动化
4. An automatic ECG processing algorithm to identify patients prone to paroxysmal atrial fibrillation [C] . Schreier, G., Kastner, . 2001

机译：一种自动ECG处理算法，可识别容易发生阵发性房颤的患者
5. Patients Harm Classification and Prediction Through Natural Language Processing in a Cancer Medical Center [D] . Salazar Reyna, Roberto Jesus. 2020

机译：患者通过癌症医疗中心的自然语言处理危害分类和预测
6. Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record Systems [O] . Jesse M. Ehrenfeld, Keanan Gabriel Gottlieb, Lauren Brittany Beach, 2019

机译：开发用于识别和评估电子病历系统中跨性别患者的自然语言处理算法
7. Derivation and validation of an automated electronic search algorithm to identify patients at risk for obstructive sleep apnea [O] . Weingarten, Toby N 2017

机译：推导和验证自动电子搜索算法以识别有阻塞性睡眠呼吸暂停风险的患者

Premier/IHI algorithms automate process for identifying patient harm

摘要

著录项

相似文献

相关主题

期刊订阅