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相关概念视频

Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...
Development of Analytical Methods01:21

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Preclinical Development: Overview01:28

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Optimization Problems01:26

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...

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相关实验视频

Updated: Jun 2, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Published on: January 11, 2020

护理最低数据集的核心元素,开发和实施策略:范围审查

Pascal Müller1, Annabell Gangnus1, Katrin Gayen1

  • 1Health Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.

JMIR medical informatics
|March 3, 2026
PubMed
概括

护理最低数据集 (NMDS) 为护理评估提供标准化的护理数据. 国际变化和采用方面的挑战仍然存在,需要共同努力才能有效实施和数据实用性.

关键词:
护理最低数据集 护理最低数据集核心护理数据元素 核心护理数据元素数字健康数字健康卫生信息系统 卫生信息系统护理文档护理文档护理信息学 护理信息学标准化的护理数据.

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Elucidation of the Material Basis of Yiqi Qingjie Formula Against IgA Nephropathy Using UHPLC-Q-Orbitrap HRMS Integrated with Network Pharmacology
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科学领域:

  • 护理信息学 护理信息学
  • 医疗保健服务研究 医疗服务研究
  • 数据标准 数据标准

背景情况:

  • 护理护理系统面临的人口变化,劳动力短缺和需求增加等挑战.
  • 数字技术可以帮助,但标准化的护理数据对于评估创新和护理流程至关重要.
  • 护理最低数据集 (NMDS) 是结构化护理数据的框架,但在内容,开发和使用方面缺乏国际共识.

研究的目的:

  • 绘制NMDS核心内容元素的国际文献.
  • 确定NMDS开发中的方法方法.
  • 探索NMDS在各种护理环境中的实施和使用.

主要方法:

  • 根据JBI和Arksey/O'Malley框架进行范围审查.
  • 在MEDLINE和CINAHL数据库中使用"护理最低数据集"进行系统搜索.
  • 包括英语/德语研究关于NMDS内容,开发或实施;独立的双盲审查.

主要成果:

  • 26项研究符合纳入标准,显示NMDS结构 (16-145项) 的异质性.
  • 一贯确定了四个核心领域:患者人口统计,医疗保健,护理要素和组织数据.
  • NMDS的开发涉及参与式,多阶段的方法;实施支持文档,规划,质量保证和结果展示,面临标准化,法律框架和培训方面的挑战.

结论:

  • NMDS对于标准化的护理文档,质量保证和卫生系统规划至关重要.
  • 国际变化和协调,整合和接受方面的挑战仍然存在.
  • 推进NMDS需要在互操作性,数字基础设施投资和教育方面进行合作;未来的研究应该解决比较有效性和减少文档负担.