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相关概念视频

Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Relative Risk01:12

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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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...
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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.
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相关实验视频

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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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使用常规可用的电子健康记录数据元素来开发和验证数字沟风险评分.

Jamie M Faro1, Emily Obermiller2, Corey Obermiller2

  • 1Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01605, United States.

JAMIA open
|February 5, 2025
PubMed
概括
此摘要是机器生成的。

电子健康记录 (EHR) 数据可以识别面临数字沟的患者,从而为公平的数字健康准入提供有针对性的支持. 这种查工具有助于医疗保健系统确保所有患者从数字健康服务中受益.

关键词:
数字沟的原因是数字沟.电子健康记录 电子健康记录获得医疗保健 获得医疗保健提高健康素养 提高健康素养选工具是一个选工具.

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科学领域:

  • 医疗信息学 医疗信息学
  • 数字健康 公平数字健康 公平
  • 患者可以获得技术.

背景情况:

  • 数字健康工具,如患者门户和远程监控,在医疗保健中越来越成为标准.
  • 然而,数字沟对公平获取和利用这些技术构成了重大障碍.
  • 识别患有这种分裂风险的患者对于有效干预至关重要.

研究的目的:

  • 开发和验证电子健康记录 (EHR) 查工具.
  • 该工具旨在准确识别易受数字沟影响的患者.
  • 这有助于制定有针对性的战略,以改善数字健康公平.

主要方法:

  • 在单一医疗保健系统内进行回顾式EHR数据提取和横截面调查.
  • 确定了四个关键的EHR标记:手机号码,电子邮件地址,活跃患者门户,以及患者门户登录频率.
  • 根据这些标志物制定了基于这些标志物的风险评分,以分类患者 (高风险,中等风险,低风险).

主要成果:

  • 这四个EHR标志物在识别具有数字访问障碍的患者方面表现出高灵敏度 (81%-95%) 和特异性 (65%-79%).
  • 基于EHR标记的综合风险评分有效预测了互联网接入的缺失 (c-统计=0.77).
  • 较高的数字沟风险得分与较低的电子健康素养有显著的相关性.

结论:

  • 经过验证的EHR查工具准确地识别了面临数字沟风险的患者.
  • 医疗保健系统可以利用这些EHR标记来实施有针对性的干预措施.
  • 这支持所有患者群体平等获得数字卫生服务.