走向区域人口健康管理:使用调整后的临床组分类进行前性分析
Felix Cillessen1, Pim Steenbergh1, Jacob Hofdijk2
1Hospital Rivierenland Tiel, The Netherlands.
Studies in health technology and informatics
|August 23, 2024
概括
使用调整的临床组 (ACG) 来分层医院数据可以识别不同的多病患者亚组. 这使得量身定制的健康管理和自我护理举措能够改善高风险人群的结果和资源效率.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 人口健康管理 人口健康管理
- 临床信息学 临床信息学
背景情况:
- 区域综合健康管理需要有效的患者分层.
- 部分人口的需求和自我管理的整合是优化护理的关键.
- 现有的医疗保健数据有潜力识别不同的患者群体.
研究的目的:
- 评估特定亚群体的区域综合健康管理潜力.
- 通过数据驱动的洞察来纳入自我管理倡议.
- 为当地医院设置适应凯泽永久性金字塔模型的护理.
主要方法:
- 五年来医院数据的回顾性分析 (人口统计,结果,利用率).
- 使用调整后临床组 (ACG) 分类系统进行分层.
- 开发一个局部适应凯泽永久医疗金字塔模型的护理.
主要成果:
- 预期识别具有独特医疗保健需求的不同多病症患者子组.
- 有可能揭示河医院患者之间的成本分配.
- 预计将有助于更好地了解患者的疾病负担.
结论:
- 使用ACG的数据分层可以识别针对性干预的高风险患者子组.
- 定制的健康管理和自我护理举措可以提高结果和效率.
- 结果支持基于数据的讨论,以促进多学科合作和个性化护理规划.
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