查找时间:医院医疗服务的平均每日人口普查的每小时变化
Logan Pierce1, Timothy J Judson1, Michelle Mourad1
1Division of Hospital Medicine, University of California San Francisco, San Francisco, California, USA.
Journal of hospital medicine
|November 6, 2023
概括
平均每日人口普查 (ADC) 每小时波动. 在上午7点至11点之间测量ADC的峰值,可以优化医院人员配置,防止医生倦怠.
科学领域:
- 医院 医院 医疗 医疗 医疗 医疗
- 医疗保健运营管理 医疗保健运营管理
- 患者流量分析分析
背景情况:
- 医院患者流量和资源分配的有效管理依赖于对平均每日人口普查 (ADC) 的准确监测.
- 传统的测量ADC的方法,通常是在午夜,可能不反映每日患者负载的峰值.
- 了解每小时的ADC变化对于优化人员配置和减轻医生倦怠至关重要.
研究的目的:
- 分析医院医疗服务内的平均每日人口普查 (ADC) 的每小时波动.
- 为了确定测量时间对感知患者普查和工作负载的影响.
- 提供基于证据的建议,以优化ADC对资源分配和人员配置的测量.
主要方法:
- 对患者数据的回顾性分析,包括一年内8342次接触和6178名独特患者.
- 在一个学术医疗中心的医院医疗服务上每小时追踪平均每日人口普查 (ADC).
- 在一天中的不同时间比较ADC值,以确定高峰期和低谷期.
主要成果:
- 平均每日人口普查 (ADC) 呈现出显著的每小时变化,在上午11点达到峰值 (164.1名患者/天),并在晚上7点达到最低 (155.0名患者/天).
- 峰值和最低ADC之间的差异达到了9.1名患者,与峰值普查相比,占5.5%的变化.
- 午夜ADC测量可能低估了实际的患者普查和相关的工作量.
结论:
- 每小时的ADC监测显示出显著的每日波动,挑战了静态患者普查的假设.
- 建议在峰值时测量ADC,特别是在上午7点至11点之间,以准确反映患者负载.
- 采用峰值ADC测量可以改善资源配置,确保足够的员工,并有助于防止医生在医院医学中的倦怠.
相关概念视频
Hospitals-II
788
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
Nurses that work in...
788
Special considerations while measuring oxygen saturation
595
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
595
Variability: Analysis
144
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
144
Interpreting Run Charts
105
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
105
Respiratory Volumes and Capacities I
1.0K
Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
1.0K
The X̄ Chart
125
The x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
125


