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相关概念视频

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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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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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

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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...
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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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...
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Data Reporting and Recording01:24

Data Reporting and Recording

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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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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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通过条码集成和研究加强临床数据管理 电子数据捕获:可扩展和可适应的实施研究

Rendong Zhang1, Sophie Chiron2, Regina Tyree3

  • 1Department of Electrical and Computer Engineering, School of Engineering, Vanderbilt University, PMB 351824, 2301 Vanderbilt Place, Nashville, TN, 37235-1824, United States, 1 6153222338.

JMIR formative research
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码头集装箱化 码头集装箱化红帽公司 (REDCap)条形码技术 条形码技术临床数据管理 临床数据管理数据的细分性数据的细分性.系统吞吐量优化系统吞吐量优化

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科学领域:

  • 临床信息学 临床信息学
  • 生物医学数据管理管理
  • 生物信息学是一种生物信息学.

背景情况:

  • 有效的数据管理对于临床研究至关重要,但传统系统面临着条形码错误和性能方面的挑战.
  • 临床研究中的信息系统需要强大的样本跟踪,安全存储和可靠的分析.

研究的目的:

  • 通过提高条形码稳定性,数据细分性和系统吞吐量来增强临床数据管理.
  • 解决现有的条形码信息系统的局限性,以更好地支持临床应用.
  • 在胃肠道研究中验证设计标准,以便整合到其他临床数据管理工作流程中.

主要方法:

  • 在模糊条件下评估条码技术的弹性.
  • 在REDCap (研究电子数据捕获) 中实现了一个动态的器官特定档案,用于数据收集.
  • 利用Docker进行信息软件容器化,并提出了本地缓存系统以减少REDCap交互时间.

主要成果:

  • 数据矩阵条形码在模糊的情况下表现出卓越的准确性.
  • REDCap档案改善了样本来源跟踪和数据细分度.
  • 对于大型数据集,本地缓存系统将REDCap交互时间减少了8倍.

结论:

  • 提议的改进显著提高了条形码的稳定性,数据细节性和系统吞吐量.
  • 优化解决了临床信息系统的关键局限性,确保有效的数据管理.
  • 该系统为各种临床研究需求提供了强大的支持.