评估和潜在的改善患者在多学科诊所的出席
Esther Ochoa1, Katherine D Long1, Daehee Jeong1
1Division of Plastic & Reconstructive Surgery, Washington University School of Medicine, St. Louis, MO, USA.
概括
预测模型可以识别高风险错过裂口腔和面临诊所预约的儿童. 这种方法旨在通过解决缺勤因素来改善诊所出勤率和患者护理.
科学领域:
- 儿科护理 儿科护理
- 医疗保健管理的管理
背景情况:
- 多学科的护理是最优的,对于有口腔裂和面状况的儿童.
- 临床不出现和当天取消会破坏协调的患者护理.
研究的目的:
- 评估导致患者在专业儿科诊所缺席的因素.
- 开发和实施创新的干预措施,以增加患者出勤率和诊所利用率.
主要方法:
- 评估了与不上诊所相关的因素.
- 与医院系统和电子病历提供商展开讨论.
- 设计的干预措施重点是改善患者出席率.
主要成果:
- 标准的预约提醒不足以减少没有出现的情况.
- 目前正在开发一种针对患者不出院的预测风险模型.
- 利益相关者参与是设计有效干预措施的关键.
结论:
- 预测建模提供了一种新的策略来缓解临床缺勤.
- 积极的干预措施可以提高患者获得必要的面护理的机会.
- 改善诊所利用率对于优化多学科护理提供至关重要.
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