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相关概念视频

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

124
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Smooth Endoplasmic Reticulum01:21

Smooth Endoplasmic Reticulum

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Smooth endoplasmic reticulum or smooth ER is a sub-organelle with specialized functions in animal cells and plant cells. It is often associated with the tubule morphology of the endoplasmic reticulum.
The ER provides optimal conditions for synthesizing steroid hormones and lipids, such as phospholipids and triglycerides. Traditionally, lipid metabolism was considered to be a smooth ER function. However, there is no direct evidence to prove that rough ER is completely excluded from lipid...
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Hazard Ratio01:12

Hazard Ratio

160
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
160
Cardiomyopathy IV: Restrictive Cardiomyopathy01:29

Cardiomyopathy IV: Restrictive Cardiomyopathy

12
Restrictive cardiomyopathy (RCM) is a rare heart muscle disease characterized by impaired ventricular filling due to stiffened ventricular walls, leading to significant diastolic dysfunction.EtiologyRestrictive cardiomyopathy can arise from both inherited and acquired diseases, many of which are systemic. It is categorized into four main types: infiltrative, storage, non-infiltrative, and endomyocardial diseases.Infiltrative diseases, such as amyloidosis, lead to RCM by depositing amyloid...
12
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

38
The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
38
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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相关实验视频

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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关于罕见疾病的最低数据集:系统审查

Filipe Andrade Bernardi1,2, Bibiana Mello de Oliveira2,3,4, Diego Bettiol Yamada1,2

  • 1Health Intelligence Laboratory, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirão Preto, Brazil.

Journal of medical Internet research
|July 27, 2023
PubMed
概括
此摘要是机器生成的。

这项研究解决了对罕见疾病 (RD) 标准化最低数据集 (MDS) 的挑战. 它提出了一个基本的全球MDS,以改善罕见疾病的临床数据收集和研究.

科学领域:

  • 医疗信息学 医疗信息学
  • 罕见疾病研究 罕见疾病研究
关键词:
医疗保健系统 医疗保健系统卫生网络 卫生网络最少的数据集是最少的数据集.公共卫生公共卫生.罕见病是一种罕见的疾病.

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  • 数据标准化数据标准化
  • 背景情况:

    • 最小数据集 (MDS) 对健康监测和研究至关重要,但罕见疾病 (RD) 数据的复杂性阻碍了指标生成.
    • 现有的文献揭示了在收集,记录和结构化研发和开发数据方面面临的全球挑战.
    • 标准化的MDS对于有效的健康监测和生成人口指标至关重要.

    结论:

    • 由于研究结构的多样化,对RD MDS发现进行标准化和分类是具有挑战性的.
    • 一个基本的 RDs 全球 MDS 已被设计,解决临床和管理数据需求.
    • 这个MDS可以为罕见疾病的公共政策和战略决策提供信息.