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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Purpose of Health Records I01:11

Purpose of Health Records I

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The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
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Data Reporting and Recording01:24

Data Reporting and Recording

4.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

827
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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Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

891
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
891
Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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相关实验视频

Updated: Jun 14, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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卫生信息系统的共同数据质量要素:系统性审查

Hossein Ghalavand1, Saied Shirshahi2, Alireza Rahimi2

  • 1Department of Medical library and Information Science, Abadan University of Medical Sciences, Abadan, Iran. Hosseinghalavand@gmail.com.

BMC medical informatics and decision making
|September 2, 2024
PubMed
概括

这项研究确定了健康信息系统的14个常见数据质量维度,强调准确性,完整性和及时性是最重要的. 标准化这些维度对于一致的评估至关重要.

关键词:
数据质量数据质量数据质量卫生信息系统 卫生信息系统系统性审查 系统性审查

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

  • 医疗信息学 医疗信息学
  • 信息系统信息系统信息系统
  • 数据管理数据管理

背景情况:

  • 卫生信息系统 (HIS) 数据质量是复杂的,具有多个维度.
  • 识别共同的数据质量元素对于改善HIS至关重要.

研究的目的:

  • 识别和分类健康信息系统的常见数据质量维度.
  • 解决HIS数据质量评估中缺乏统一性的问题.

主要方法:

  • 在多个科学数据库中进行了全面的文献审查.
  • 选了760篇论文,其中58篇在严格的摘要和全文审查后被选中.

主要成果:

  • 确定了14个关键数据质量维度:准确性,一致性,安全性,及时性,完整性,可靠性,可访问性,客观性,相关性,可理解性,导航性,声誉性,效率和附加值.
  • 准确性,完整性和及时性成为文献中最常被引用的维度.

结论:

  • 当前的HIS数据质量维度和评估方法存在缺乏统一性.
  • 标准化数据质量维度的定义和评估对于一致的HIS评估至关重要.