推进以患者为中心的护理:使用创新的倾向性得分技术,对医院效率和发病率进行全国性的分析
Samy Allam1,2
1Quality and Health Data Integrity, Arrowhead Regional Medical Center, Colton, USA.
Cureus
|December 26, 2024
概括
以患者为中心的护理通过确保获得健康信息来改善康复. 这项研究分析了住院时间 (LOS) 数据,以减少护理碎片化并增强患者的自主权.
科学领域:
- 医疗保健管理的管理
- 医疗信息学 医疗信息学
- 患者研究成果研究结果
背景情况:
- 以患者为中心的护理模式优先考虑患者的自主权,但医疗保健技术的进步对独立决策提出了挑战.
- 持续获得健康信息对于赋予患者权力至关重要,但信息缺口仍然存在.
- 医疗保健的分散性仍然是医疗保健提供的一个重要问题.
研究的目的:
- 识别信息缺口,并提出数据精度和同步的协议.
- 分析全国性住院时间 (LOS) 数据,以进行数据驱动干预.
- 通过加强患者赋权,改善医院体验并减少护理碎片化.
主要方法:
- 对全国医疗保险和医疗补助服务中心 (CMS) 医院损失数据 (2011-2021) 的分析.
- 纳入来自Arrowhead区域医疗中心 (ARMC) 和诊断相关小组 (DRG) 的本地LOS数据.
- 利用倾向性得分进行可变调整和预测医院结果,强调从当地到国家环境的可扩展性.
主要成果:
- 长时间住院与医疗费用增加和严重的健康后果相关.
- 较短的住院时间可能会降低死亡和再入院的风险,但需要谨慎管理,以避免过早出院.
- 倾向性评分和区块链和机器学习 (ML) 等先进工具可以提供精确的洞察力,并打击护理碎片化.
结论:
- 通过数据分析优化医院的LOS可以提高患者的自主性和恢复.
- 强大的健康信息交换 (HIE) 对于消除医疗保健分散至关重要.
- 包括区块链和ML在内的创新策略对于适应不断变化的患者需求和提高护理质量至关重要.
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