Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

155
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
155
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

67
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
67
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

307
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
307
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

142
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
142
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

432
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
432
Hospitals-II00:59

Hospitals-II

813
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...
813

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

How Much Does a Home Care Nursing Visit Cost? A National Micro-Costing Study from the AIDOMUS-IT Project.

Nursing reports (Pavia, Italy)·2026
Same author

The Implementation of a Business Process Model and Notation for Modeling Patient Health Care Trajectories: Systematic Review.

Journal of medical Internet research·2026
Same author

The application of process mining for clinical pathways: a systematic literature review protocol.

Systematic reviews·2026
Same author

Strategic analysis of heterogeneous fleet composition for aerial interhospital transport in underserved areas of Canada.

Health care management science·2026
Same author

Clinical pathways discovery for long-term and chronic patients: A process mining approach.

Computers in biology and medicine·2026
Same author

Application of process mining in healthcare logistics: a systematic literature review protocol.

BMJ open·2026

相关实验视频

Updated: Jul 27, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

一个模拟模型用于预测Covid-19的医院占用率,使用原型分析.

Eduardo Redondo1,2, Vittorio Nicoletta1,2, Valérie Bélanger2,3

  • 1Faculty of Business Administration, Université Laval, Quebec (Quebec), G1K 7P4, Canada.

Healthcare analytics (New York, N.Y.)
|June 5, 2023
PubMed
概括

这项研究引入了一种预测工具,用于预测COVID-19患者的医院病床占用率. 它帮助医疗管理人员优化资源配置,确保患者获得重症监护服务.

关键词:
考古类型分析 考古型分析床位管理 床位管理在 COVID-19 疫情中,离散事件模拟 离散事件模拟医疗保健管理的管理

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

277

相关实验视频

Last Updated: Jul 27, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.2K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

277

科学领域:

  • 医疗保健管理的管理
  • 流行病学建模 流行病学建模
  • 卫生系统研究 卫生系统研究

背景情况:

  • 随着COVID-19大流行,全球医疗保健系统受到严重压力,导致资源短缺.
  • 现有的流行病学模型往往没有直接转化为可操作的医院服务要求,例如床位占用.
  • 医院管理人员需要有效的工具来预测患者的流入,并管理病床容量,包括重症监护室 (ICU) 的病床.

研究的目的:

  • 开发和验证用于预测COVID-19患者医院病床占用率的预测工具.
  • 协助医疗管理人员做出有关资源配置和能力管理的明智决策.
  • 确保COVID-19确诊病例持续获得住院和ICU服务.

主要方法:

  • 使用离散事件模拟方法.
  • 使用原型,从实际患者轨迹的经验分析中得出的原型,以建模疾病进展和资源利用.
  • 能够将原型与区域数据或具有最小数据的特定病毒变异相匹配.

主要成果:

  • 通过对现实的场景进行数值实验来证明预测工具的准确性.
  • 展示了该工具支持医院管理人员日常决策的能力.
  • 验证了该工具在最大限度地提高床位可用性和确保患者获得必要服务方面的有效性.

结论:

  • 拟议的模拟工具准确地预测了COVID-19患者的医院病床占用率.
  • 该工具使医疗保健管理人员能够优化资源管理,并提高患者护理服务.
  • 有效的能力规划对于在流行病期间保持医疗保健系统弹性至关重要.