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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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Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
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人工智能在外科手术风险预测中的作用

Stamatios Kokkinakis1, Evangelos I Kritsotakis2, Konstantinos Lasithiotakis1

  • 1Department of General Surgery, School of Medicine, University Hospital of Heraklion, University of Crete, 71500 Heraklion, Greece.

Journal of clinical medicine
|June 28, 2023
PubMed
概括

预测手术后患者的结果对于临床实践至关重要. 这项研究的重点是改善短期和长期术后结果的风险分层.

科学领域:

  • 医疗信息学 医疗信息学
  • 临床决策支持 临床决策支持
  • 手术结果研究研究.

背景情况:

  • 准确预测患者的结果在临床环境中变得越来越重要.
  • 有效的风险分层有助于管理手术患者和优化护理途径.

研究的目的:

  • 提高术后后果风险预测模型的准确性.
  • 根据患者的风险概况,改善患者的分层,以获得短期和长期的外科结果.

主要方法:

  • 使用先进的统计技术进行风险建模.
  • 分析大量患者信息数据集以确定关键预测因素.

主要成果:

  • 开发一个精细的风险预测框架.
  • 在对各种术后并发症患者进行分层时,证明了更好的准确性.

结论:

  • 增强的风险预测模型可以显著改善临床决策.
  • 有效的患者分层导致更好地管理手术风险和结果.

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