在同一天取消选择性手术的预测因素
Justin J Turcotte1, Jane C Brennan1, Gerald Kidd1
1Luminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Journal of perioperative practice
|August 30, 2023
概括
预测同一天的手术取消是非常具有挑战性的. 这项研究开发了一种识别风险患者的模型,旨在通过早期识别来减少对患者和医疗保健系统的不良影响.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 外科手术的结果
- 预测分析是一种预测分析.
背景情况:
- 同日手术取消会对患者和医疗保健系统产生负面影响.
- 现有的研究主要集中在取消原因上,对风险因素的理解有限.
研究的目的:
- 开发和评估一个预测模型,用于识别有同日手术取消风险的患者.
- 改进手术前患者评估和资源分配.
主要方法:
- 使用手术前患者数据开发预测模型.
- 评估模型在识别风险患者方面的准确性.
主要成果:
- 准确预测同一天的手术取消仍然是一个复杂的挑战.
- 预测模型显示了早期识别有风险的个体的潜力.
结论:
- 预测模型可以帮助早期识别容易在同一天取消治疗的患者.
- 需要进一步的研究来确定预测分析是否可以实际降低取消率.
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