临床数据存储:一个范围审查
Zhan Wang1, Mahanaz Syed1, Shorabuddin Syed1
1University of Texas Health Science Center at San Antonio, San Antonio, TX, US.
概括
本次对临床数据仓库 (CDW) 方法的审查强调了在CDW设计和治理方面需要更多的研究. 进一步的多站点研究对于推进医疗保健组织中CDW成熟度至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 数据管理数据管理
- 临床研究信息学 临床研究信息学
背景情况:
- 临床数据仓库 (CDW) 集成各种数据用于决策和医疗保健组织 (HCO) 的二次使用.
- 关于CDW方法的科学文献有限,尽管HCO的努力很大.
- 现有的文献往往缺乏对数据集成,ETL优化和治理等关键领域的关注.
研究的目的:
- 系统地审查和描述HCOs当前的CDW方法.
- 为CDW实践确定基于证据的建议.
- 引导CDW设计,实施和利用的进步.
主要方法:
- 一项系统的PubMed搜索确定了2011年至2021年间发表的137篇文章.
- 摘要由两位作者选;全文文章被独立审查和抽象.
- 通过共识来解决差异,以确保数据的准确性.
主要成果:
- 分析显示了来自55个期刊和3个会议记录的137篇相关文章.
- 需要更多关注的关键领域包括CDW设计 (数据集成,ETL,数据质量,语义表示) 和治理 (支持工具,数据素养,结构,财务模型).
结论:
- 该研究确定了已开发的CDW主题和需要进一步关注的领域,弥合了一般数据管理实践和研究数据需求.
- 建议进行更多的多地点和多方面研究,以提高CDW的成熟度.
- 改善关于CDW设计和治理的报告对于推动该领域的发展至关重要.
相关概念视频
The Scope of Physics
52.9K
Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present...
52.9K
Statistical Software for Data Analysis and Clinical Trials
1.5K
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...
1.5K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
How Data are Classified: Categorical Data
44.2K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.2K
How Data are Classified: Numerical Data
37.7K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.7K


