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Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study

机译：比较商业人工智能预警系统的预测能力与住院普通内科患者临床恶化的医师判断：一项前瞻性观察研究

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摘要

ObjectiveOur study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.

机译：目的我们的研究将医师判断与自动预警系统（EWS）进行比较，以预测住院的普通内科患者的临床恶化情况。

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期刊名称 BMJ Open
作者
Jonathan Arnold; Alex Davis; Baruch Fischhoff; Emmanuelle Yecies; Jon Grace; Andrew Klobuka; Deepika Mohan; Janel Hanmer;
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年(卷),期 2019(9),10
年度 2019
页码 e032187
总页数 7
原文格式 PDF
正文语种
中图分类
关键词
decision support systems clinical clinical deterioration clinical decision-making early warning systems health information systems;

机译：决策支持系统;临床;临床恶化;临床决策;预警系统;健康信息系统;

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1. 第一代酪氨酸激酶抑制剂治疗中发生进展的非小细胞肺癌血浆表皮生长因子受体(EGFR) T790M突变提示了失败部位并预测了临床预后:一项前瞻性观察研究 [J] . Shirong Zhang, Lucheng Zhu, Bing Xia, 癌症（英文版） . 2018,第009期
2. Protocol of the sepsivit study: a prospective observational study to determine whether continuous heart rate variability measurement during the first 48 hours of hospitalisation provides an early warning for deterioration in patients presenting with infec [J] . Jan C ter Maaten, Jack J M Ligtenberg, Matijs van Meurs, BMJ Open . 2017,第11期

机译：sepsivit研究的方案：一项前瞻性观察性研究，以确定在住院的前48小时内连续进行的心率变异性测量是否可对感染者的恶化提供预警
3. Study of nurses’ use of early warning scoring systems for patient deterioration highlights the need to strengthen nurses’ knowledge and confidence in their clinical judgement in using these tools [J] . Salma Rehman, Parveen Ali Evidence-based nursing . 2020,第3期

机译：研究护士使用预警评分系统为患者恶化的利用凸显了利用这些工具在临床判断中加强护士的知识和信心的必要性
4. Hospitalisation in an emergency department short-stay unit compared to an internal medicine department is associated with fewer complications in older patients – an observational study [J] . Camilla Str?m, Talie Khadem Mollerup, Laurits Schou Kromberg, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine . 2017,第1期

机译：一项观察性研究发现，急诊科短期住院患者与内科住院相比，老年患者并发症更少
5. An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients^* [C] . Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2019

机译：基于人工智能的住院患者营养摄入评估系统^*
6. Protocol of the sepsivit study: a prospective observational study to determine whether continuous heart rate variability measurement during the first 48 hours of hospitalisation provides an early warning for deterioration in patients presenting with infection or sepsis to the emergency department of a Dutch academic teaching hospital [O] . Vincent M Quinten, Matijs van Meurs, Maurits H Renes, 2017

机译：sepsivit研究的方案：一项前瞻性观察性研究以确定在住院的前48小时内连续进行的心率变异性测量是否可以向荷兰学术教学医院的急诊部门就感染或败血症的患者恶化提供预警
7. Protocol of the sepsivit study: a prospective observational study to determine whether continuous heart rate variability measurement during the first 48 hours of hospitalisation provides an early warning for deterioration in patients presenting with infection or sepsis to the emergency department of a Dutch academic teaching hospital [O] . Quinten, Vincent M, van Meurs, Matijs, Renes, Maurits H, 2017

机译：sepsivit研究的方案：一项前瞻性观察性研究，以确定在住院的前48小时内连续进行的心率变异性测量是否可以向荷兰学术教学医院的急诊部门就感染或败血症的患者恶化提供预警

Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study

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