空间分析用于电子健康记录的应用:描述患者表型和新兴趋势
Abolfazl Mollalo1, Bashir Hamidi1, Leslie Lenert1
1Medical University of South Carolina.
Research square
|October 27, 2023
概括
电子健康记录 (EHR) 的空间分析正在增长,但先进的方法和各种患者数据仍未得到充分利用. 本次审查突出了差距,并提出了改善临床决策支持的指导方针.
科学领域:
- 医疗信息学 医疗信息学
- 地理信息系统 (GIS) 是指地理信息系统.
- 生物统计学 生物统计学
背景情况:
- 电子健康记录 (EHR) 包含患者地址,对于地理编码和空间分析有价值.
- 空间分析可以为临床目的提供全面的患者描述.
- 没有一个系统性审查全面检查了空间分析在特征患者的表型从EHR.使用空间分析.
研究的目的:
- 审查使用美国个体级EHR数据的先进空间分析.
- 通过空间分析来表征患者的表型.
- 识别应用空间分析对EHR数据的趋势和差距.
主要方法:
- 对英语同行评审文章的系统评价.
- 在PubMed/MEDLINE,Scopus,Web of Science和谷歌学者数据库中进行了搜索.
- 纳入标准:使用个人级EHR数据进行患者表型的空间分析的文章;没有日期或研究设计约束.
主要成果:
- 49篇文章符合资格标准,在2017年后的出版物中出现了激增.
- 聚类技术占主导地位;时空分析和建模尚未得到充分探索.
- 研究涵盖了不同的临床领域 (传染病,内分泌学,心脏病学) 和表型 (人口统计,诊断,访问),重点是喘,高血压和糖尿病.
- 基因组学,成像和笔记很少用于表型定义.
结论:
- 人们对EHR数据的空间分析越来越感兴趣,但存在重大知识差距.
- 在临床健康领域,表型数据类型和空间方法学中发现的差距.
- 建议的指导方针,以利用空间分析来改善患者环境和临床决策支持.
相关概念视频
Issues And Trends In Healthcare Delivery System
5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Analysis of Population Pharmacokinetic Data
267
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...
267
Methods of Documentation VII: EMR
842
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...
842
Genome-wide Association Studies-GWAS
13.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.5K
Statistical Software for Data Analysis and Clinical Trials
593
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...
593
Statistical Methods for Analyzing Epidemiological Data
385
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:
385


