相关实验视频

Updated: May 27, 2025

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department
07:52

Expired CO2 Measurement in Intubated or Spontaneously Breathing Patients from the Emergency Department

Published on: January 29, 2011

16.1K

急诊室停留时间对住院患者利用率和死亡率的影响

Kai-Jie Ma1, Yi-Chen Hsu2, Wei-Wen Pan3

  • 1Department of Public Health, China Medical University, Taichung, 406040, Taiwan.

Health economics review
|February 19, 2025
PubMed
概括

长时间停留在急诊室 (ED) 会增加住院时间和死亡风险. 减少ED等待时间对于更好的患者结果和高效的医疗资源使用至关重要.

关键词:
埃德洛斯 (EDLOS) 是一个医疗保健质量 医疗保健质量住院时间 住院时间住院费用是医院住院的成本.死亡风险 死亡风险

更多相关视频

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings06:59

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings

Published on: November 9, 2016

30.3K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.3K

相关概念视频

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
823
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
84
Hospitals-II00:59

Hospitals-II

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...
725
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
868
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
146
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
162