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院前自动生命体征波形和趋势数据采集填补了质量管理、分诊和结果预测方面的空白。

Automatic pre-hospital vital signs waveform and trend data capture fills quality management, triage and outcome prediction gaps.

作者信息

Mackenzie Colin F, Hu Peter, Sen Ayan, Dutton Rick, Seebode Steve, Floccare Doug, Scalea Tom

机构信息

National Study Center for Trauma & EMS, University of Maryland School of Medicine, Baltimore, MD, USA.

出版信息

AMIA Annu Symp Proc. 2008 Nov 6;2008:318-22.

Abstract

Trauma Triage errors are frequent and costly. What happens in pre-hospital care remains anecdotal because of the dual responsibility of treatment (resuscitation and stabilization) and documentation in a time-critical environment. Continuous pre-hospital vital signs waveforms and numerical trends were automatically collected in our study. Abnormalities of pulse oximeter oxygen saturation (< 95%) and validated heart rate (> 100/min) showed better prediction of injury severity, need for immediate blood transfusion, intra-abdominal surgery, tracheal intubation and chest tube insertion than Trauma Registry data or Pre-hospital provider estimations. Automated means of data collection introduced the potential for more accurate and objective reporting of patient vital signs helping in evaluating quality of care and establishing performance indicators and benchmarks. Addition of novel and existing non-invasive monitors and waveform analyses could make the pulse oximeter the decision aid of choice to improve trauma patient triage.

摘要

创伤分诊错误频繁且代价高昂。由于在时间紧迫的环境中既要进行治疗(复苏和稳定病情)又要进行记录,院前护理中的情况仍多为轶事性描述。在我们的研究中,连续的院前生命体征波形和数值趋势是自动收集的。脉搏血氧饱和度异常(<95%)和经证实的心率异常(>100次/分钟)比创伤登记数据或院前医护人员的估计更能准确预测损伤严重程度、是否需要立即输血、进行腹部手术、气管插管和插入胸管。自动数据收集方式为更准确、客观地报告患者生命体征提供了可能,有助于评估护理质量并建立绩效指标和基准。增加新型和现有的非侵入性监测器及波形分析,可使脉搏血氧仪成为改善创伤患者分诊的首选决策辅助工具。

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