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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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[数字化和临床决策工具]

C Reich, N Frey, E Giannitsis1

  • 1Medizinische Klinik III, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Deutschland. evangelos_giannitsis@med.uni-heidelberg.de.

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概括
此摘要是机器生成的。

数字健康工具正在彻底改变心血管紧急护理,从医院前的数字心电图 (ECG) 到人工智能驱动的预测. 这些创新有望改善治疗质量和患者的治疗结果,尽管存在监管障碍.

关键词:
应用程序 应用程序 应用程序人工智能的人工智能是人工智能.心血管紧急情况.支持决定的决定支持.数字健康数字健康

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科学领域:

  • 心脏病学 心脏病学
  • 数字健康数字健康
  • 紧急医疗 紧急医疗

背景情况:

  • 心血管紧急情况随着数字技术的进步而迅速发展.
  • 数字结构,改进的网络和电子健康记录是关键驱动因素.
  • 系统的互连性增强了数字健康能力.

研究的目的:

  • 探索数字化在心血管紧急情况中的演变作用.
  • 突出数字健康的潜力,从医院前到治疗阶段.
  • 讨论数字工具对遵守指南和患者治疗结果的影响.

主要方法:

  • 在心血管紧急情况中审查当前的数字健康应用程序.
  • 分析医院前数字心电图 (ECG) 传输和远程医疗支持.
  • 在心血管保健中评估指南应用程序,临床决策支持工具和人工智能 (AI).

主要成果:

  • 数字化优化了救援途径,并减少了医院前护理的关键时间间隔.
  • 指导方针应用程序和决策支持工具提高了坚持,治疗质量和结果.
  • 人工智能在图像分析和预测心血管事件方面显示出潜力,尽管传统方法存在局限性.

结论:

  • 数字健康显著提高了心血管应急管理和患者的治疗结果.
  • 预计数字工具的广泛采用将改善护理质量.
  • 监管,数据保护和法律方面是AI决策辅助工具快速传播的关键障碍.