在医疗保健信息系统中开发压力损伤预测指标系统:一个连续的混合方法研究
Chunxiang Qin1, Siqing Hu1, Jing Lu1
1Health Management Medicine Center & Department of Nursing, Third Xiangya Hospital, Central South University.
Advances in skin & wound care
|September 4, 2025
概括
这项研究开发了一个系统,使用电子健康记录自动预测医院获得的压力损伤 (PI). 该系统确定了关键指标,改善了患者护理质量和减少PI的流行率.
科学领域:
- 医疗信息学
- 改善医疗保健的质量
- 临床数据挖掘
背景情况:
- 在医院获得的压力损伤 (PI) 是医疗保健质量的重要指标.
- 在医院获得的PI的流行趋势越来越高.
- 有效预测PI对于及时干预至关重要.
研究的目的:
- 确定潜在的医院压力损伤的预测指标.
- 从电子病历系统中自动挖掘这些指标的系统.
主要方法:
- 经过修改的德尔菲方法用于指标开发,涉及专家采访,文献审查和调查.
- 使用SQL从医疗信息系统 (HIS) 提取指标.
- 使用随机森林技术进行指标选择.
主要成果:
- 一个预测指标系统由3个类别和14个指标组成.
- 在所有指标上达成了高度的专家共识 (达成一致率为83.30%-100.00%).
- 自动预测模型显示高准确度 (95.26%),手动和自动提取之间的一致性很好 (科恩 κ 0.64-1.00).
结论:
- 开发的预测指标系统适用于HIS中的自动压力损伤预测.
- 建议在现实临床环境中进行进一步的细化和验证.
- 这种系统有潜力提高患者护理质量,
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