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Issues And Trends In Healthcare Delivery System01:29

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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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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.
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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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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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糖尿病护理的人工智能:当前和未来的前景

Bin Sheng1, Krithi Pushpanathan2, Zhouyu Guan3

  • 1Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China; Key Laboratory of Artificial Intelligence, Ministry of Education, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

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人工智能 (AI) 提供个性化糖尿病护理,但面临诸如偏见和公平实施等挑战. 伦理的人工智能开发可以使患者和提供者能够有效地管理糖尿病.

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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 糖尿病管理 糖尿病管理

背景情况:

  • 人工智能 (AI) 在糖尿病护理中的探索越来越多,以实现个性化治疗.
  • 人工智能的进步带来了挑战,包括潜在的偏见,道德问题和公平的部署.

研究的目的:

  • 审查人工智能在糖尿病护理连续中的当前和未来前景.
  • 总结人工智能应用,从查和诊断到治疗优化和并发症管理.

主要方法:

  • 关于人工智能在糖尿病护理中的应用的文献综述.
  • 对糖尿病人工智能的当前研究和未来趋势的综合.

主要成果:

  • 人工智能正在探索增强查,诊断和个性化治疗计划.
  • 人工智能可以优化治疗,预测/管理糖尿病并发症.
  • 解决道德考虑和潜在偏见对于公平的AI部署至关重要.

结论:

  • 包容和道德的人工智能开发是赋予医疗保健提供者和糖尿病患者权力的关键.
  • 人工智能具有巨大的潜力,可以在整个连续过程中改变糖尿病护理.
  • 需要进一步的研究和仔细的实施,才能实现AI在糖尿病管理中的全部好处.