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Diabetes: Management and Pharmacotherapy01:15

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The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Health Information Technology (HIT)
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Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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相关实验视频

Updated: May 21, 2025

Improving IV Insulin Administration in a Community Hospital
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一个关于协调糖尿病管理数据集的观点.

Miriam K Wolff1, Sam Royston2, Anders L Fougner3

  • 1Norwegian University of Science and Technology, Department of ICT and Natural Sciences, Larsgårdsvegen 2, 6009 Ålesund, Norway.

Data in brief
|March 19, 2025
PubMed
概括
此摘要是机器生成的。

标准化糖尿病管理数据集可以提高研究的一致性和数据共享. 本研究提出了统一表格格式的指导方针,以协调各种医疗器械的异质数据.

关键词:
血糖预测 血糖预测数据统一和数据协调.生理学建模 生理学建模预测建模的预测建模.传感器数据的整合.标准化 标准化 标准化时间序列预测时间序列预测

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相关实验视频

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科学领域:

  • 生物医学信息学 生物医学信息学
  • 健康 数据科学 数据科学
  • 糖尿病研究 糖尿病研究

背景情况:

  • 糖尿病管理研究利用来自传感器和设备的各种数据,导致异质格式.
  • 不一致的数据格式和共享实践阻碍了糖尿病研究中的可复制性和交叉研究比较.

研究的目的:

  • 探索糖尿病管理研究当前的数据共享实践.
  • 提出协调异质数据集的指导方针,使用统一的,时间一致的表格格式.
  • 解决实现数据协调的挑战,以改善研究成果.

主要方法:

  • 审查糖尿病管理当前的数据共享实践.
  • 为统一的时间调整表格数据格式制定指导方针.
  • 关于三个已建立的糖尿病数据集的建议指南的应用和验证.

主要成果:

  • 在糖尿病数据集格式和数据共享实践中发现了重大不一致.
  • 证明了使用拟议的统一表格格式协调各种数据集的可行性.
  • 突出了数据协调过程中遇到的关键挑战.

结论:

  • 标准化数据共享格式对于推进糖尿病管理研究至关重要.
  • 采用统一的时间调整表格格式可以提高数据的一致性,并促进数据集的整合.
  • 敦促研究界制定和实施标准化数据共享实践的详细建议.