住院患者生命体征测量方法评价

Rukiye Numanoğlu, Onur Kocak, S. Malhan, E. Öksüz
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引用次数: 0

摘要

一般来说,生命体征的测量,包括血压、体温、脉搏和氧气水平的测量,提供了关于住院病人的健康状况和治疗效果的非常重要的信息。由医院护士进行的生命体征测量和记录。本研究通过对某基础大学医院住院患者生命体征测量方法的观察和访谈,评估了现有技术的优缺点。通过对医疗服务提供者的访谈和观察,确定住院患者的生命体征测量采用两种不同的方法。内科患者生命体征测量平均时间为3分4秒(SD: 00:31),外科患者生命体征测量平均时间为2分11秒(SD: 00:18),所有患者生命体征测量平均时间为2分37秒(SD: 00:37)。确定测量结果记录在患者身体档案中的平均时间为1分2秒(SD: 00:52),结果显示,由护士执行的测量记录中有15%是错误的,26.9%是延迟的,10.6%是未记录的。并确定测量结果未纳入医院信息系统。认为这些重要的发现将为接下来的人工智能研究提供重要的数据,并将测量结果记录到电子环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the Methods Used for the Vital Signs Measurement in Hospitalized Patients
In general, vital signs measurements which includes measurement of blood pressure, body temperature, pulse and oxygen levels provide very important information about the health status of the hospitalized patients and the effects of treatment. Measurements and documentation of the vital signs carried out by nurses at hospitals. In this study, the methods used in vital signs measurements of hospitalized patients were evaluated by observations and interviews at a foundation university hospital and the advantages and disadvantages of the existing technologies were determined. As a result of interviews with healthcare providers and observations, it was determined that vital signs measurements of hospitalized patients were performed by 2 different methods. The mean time of vital signs measurements were determined as 3 minutes and 4 seconds (SD: 00:31) in medical treatment patients, 2 minutes and 11 seconds (SD: 00:18) in surgical patients, and 2 minutes and 37 seconds (SD: 00:37) in all patients. It was determined that the measurement results were recorded in the patient physical file in an average of 1 minute 2 seconds (SD: 00:52) and it was revealed that 15% of the measurement records were wrong, 26.9% were delayed and 10.6% were not recorded which performed by the nurses. It was also determined that the measurement results were not included in the hospital information system. It is thought that vital findings will provide important data for artificial intelligence studies in the following period with the recording of the results of the measurement to the electronic environment.
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