制药自动报告:一种阿片类药物管理工具
Dylan Turner1, Paul Gottselig2, Leland Sommer3
1Stewardship and Clinical Appropriateness, Saskatchewan Health Authority, Regina, Saskatchewan, Canada. ORCID: https://orcid.org/0009-0004-4217-4938.
Journal of opioid management
|March 12, 2025
概括
一个新的临床决策支持系统 (CDSS) 在资源有限的环境中有效地识别了阿片类药物处方风险. 该工具有助于促进更安全的阿片类药物使用,并指导改善患者安全的干预措施.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 阿片类药物管理局阿片类药物管理
背景情况:
- 处方阿片类药物存在重大风险,特别是在缺乏资源的卫生地区.
- 有效的临床决策支持系统 (CDSS) 对于促进安全的药物治疗实践至关重要.
研究的目的:
- 开发和实施定制的CDSS,以优化资源有限的医疗保健环境中的阿片类药物处方.
- 识别和分层的患者有风险的阿片类药物相关的不良事件.
主要方法:
- 制药自动报告 (PAR) 工具是使用 Python 和 Microsoft Excel 开发的.
- 它整合了住院处方数据,并使用决策矩阵评估了九个关键的阿片类药物相关风险因素.
- 该系统作为决策树来对患者的风险水平进行分类.
主要成果:
- 在七个月的时间里,PAR工具在98.9%的处方阿片类药物患者中确定了至少一个阿片类药物相关的危险因素.
- 在62.4%的这些患者中检测到多种危险因素.
- 该工具强调了阿片类药物管理计划的数据驱动干预的领域.
结论:
- 开源编程可以在资源稀缺的卫生系统中创建内部CDSS.
- 这种方法可以有效地解决与阿片类药物相关的风险因素,并提高患者的安全.
- 该 PAR 工具支持管理干预,政策变化和质量指标评估.
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