评估风险预测系统实施的实用性和挑战:与医院药剂师的可用性研究
Keisuke Ikegami1, Masami Tsuchiya1, Hayato Kizaki1
1Keio University Faculty of Pharmacy/Graduate School of Pharmaceutical Sciences, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan.
Journal of pharmaceutical health care and sciences
|October 28, 2025
概括
药剂师发现一个新的denosumab诱导的低血症预测模型清晰而简单. 然而,其纸质形式提出了实施挑战,强调了电子健康记录整合的必要性.
科学领域:
- 药理学 药理学是指药理学的学科.
- 临床药房 临床药房
- 医疗信息学 医疗信息学
背景情况:
- 临床预测模型在用户友好性和医疗保健专业人员的解释性方面面临障碍.
- 此前已经开发了一种经过验证的风险预测模型,用于代诺苏马布诱导的低血症.
- 医院药剂师的试点测试旨在评估该模型的临床实用性和实施挑战.
研究的目的:
- 评估denosumab诱导的低血症风险预测模型的临床效用.
- 确定与在医院环境中实施该模型相关的挑战.
- 收集前线药剂师对预测模型可用性的反.
主要方法:
- 一个纸质形式的风险预测模型分发给医院药剂师.
- 药剂师将该模型应用于接受第一个denosumab剂量的患者.
- 通过纸质和电子格式的问卷调查收集了反.
主要成果:
- 该模型因其明确的目标人群和预测结果 (95.9%) 而被积极评价.
- 参与者发现模型简单而直接 (95.9%),但易用性获得了中立反 (20.4%).
- 担忧包括在以电子健康记录为中心的环境中纸质格式的不便.
结论:
- 该预测模型获得了药剂师对清晰度和简单性的积极反.
- 确定的局限性包括手动输入数据和纸质格式.
- 集成到电子健康记录和进一步的临床验证对于现实世界的适用性至关重要.
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