一个临床数据仓库分析住院病人的风险因素在三级医院:一个病例对照研究
Eunok Kwon, Sun Ju Chang1, Mikyung Kwon2
1Nursing College, Seoul National University.
Journal of patient safety
|September 15, 2023
概括
这项研究从电子医疗记录中确定了65种跌倒风险因素,包括低BMI和血压. 这些发现可以帮助开发自动化系统,以更好地评估患者在医院中的跌倒风险.
科学领域:
- 医疗信息学 医疗信息学
- 老年学是一门学科.
- 患者安全 患者安全
背景情况:
- 医院倒闭对患者安全构成重大风险,并增加医疗保健成本.
- 准确识别跌倒风险因素对于有效的预防策略至关重要.
研究的目的:
- 确定住院患者中跌倒的关键临床风险因素.
- 建立一个自动化系统,使用电子医疗记录来评估跌倒风险.
主要方法:
- 对1454名住院患者进行了回顾性病例控制研究.
- 分析电子医疗记录,包括实验室报告和护理评估.
- 使用SAS和物流回归来进行数据分析.
主要成果:
- 确定了65个显著的跌倒风险因素,如低体重指数,低血压和低白蛋白水平.
- 发现了跌倒和21个临床和护理评估项目之间的关联,包括疼痛和不清晰的意识.
- 低红细胞计数和高禁食血糖也被确定为危险因素.
结论:
- 电子医疗记录中的临床数据可以有效地识别患者的跌倒风险因素.
- 一个自动检测系统可以提高护士评估传统尺度之外的跌倒风险的能力.
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