超越床边:解码患者个人资料以实现更智能的虚拟患者观察
Olawunmi Obisesan1, Heidi Tymkew, Radhika Gilmore
1Author Affiliations: Research and Outcomes Department, Missouri Baptist Hospital, St Louis, Missouri (Dr Obisesan); Interprofessional Practice, Education, Innovation and Research Department, Barnes-Jewish Hospital, St Louis, Missouri (Dr Tymkew); Virtual Patient Observation Program, Barnes-Jewish Hospital, St Louis, Missouri (Ms Gilmore); Interprofessional Practice, Education, Innovation and Research Department, Barnes-Jewish Hospital, St Louis, Missouri (Ms Brougham); and Surgical Services, Department of Patient Care Services, Barnes-Jewish Hospital, St Louis, Missouri (Ms Dodd).
虚拟患者观察 (VPO) 的利用率在有重症监护室病史的患者中较高. 患者的特征,如ICU入院和停留时间,可以预测VPO的时间,帮助识别技术的好处.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 患者安全研究的研究.
- 临床信息学是一种临床信息学.
背景情况:
- 虚拟患者观察 (VPO) 显示出增强患者安全的前景.
- 了解VPO利用模式对于有效实施至关重要.
研究的目的:
- 识别和描述与虚拟患者观察 (VPO) 使用相关的人口和临床因素.
- 分析影响VPO利用的患者特征.
主要方法:
- 对286名患者病历进行了回顾性分析.
- 在不同患者群体中比较VPO小时.
- 层次回归来确定VPO利用的预测因素.
主要成果:
- 患有重症监护病房 (ICU) 入院史的患者平均VPO小时较高.
- 集中治疗室入院史和整体住院时间预测了总VPO小时.
- 性别和痴呆症/阿尔茨海默氏症/记忆障碍史在分析中被调整为.
结论:
- 识别与VPO使用相关的患者特征是优化其应用的关键.
- VPO利用模式的变化可以为有针对性的患者护理策略提供信息.
- 进一步的研究可以对特定患者群体的VPO使用进行细化.
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