在药房应用健康数据分析 - 开发心力衰竭仪表板的创新方法
Viviane Khalil1, Hannah Doody2, Adam J Nelson3
1Monash Healthxe , 361 Blackburn Rd , Clayton Melbourne, Australia; Monash University Wellington Rd, Clayton . Melbourne Australia; Victorian Heart Hospital, Monash Health, Clayton, VIC, Australia.
Journal of the American Pharmacists Association : JAPhA
|August 31, 2025
概括
一个新的健康数据分析仪表板帮助澳大利亚药剂师识别心力衰竭患者及时治疗. 该工具使用关键临床指标准确标记患者,改善临床药房服务.
科学领域:
- 医疗信息学
- 临床药房
- 数据分析
背景情况:
- 对医药决策支持的健康数据分析的兴趣日益增长.
- 对澳大利亚药剂师的数据驱动仪表板的证据有限.
- 需要工具来优先考虑临床药房的工作.
研究的目的:
- 在澳大利亚医院为心力衰竭 (HF) 患者开发特定疾病的仪表板.
- 帮助临床医生识别和优先考虑因其他原因入院的HF患者.
- 可以及时优化HF患者的护理.
主要方法:
- 使用敏捷的仪表板开发方法.
- 整合健康数据分析以加强临床药房服务.
- 使用 5 个关键临床指标对仪表板参数 (灵敏度,特异性,准确性) 进行了前性验证:循环利尿剂,GDMT,ICD-10代码和BNP水平.
主要成果:
- 设计与利益相关者投入的仪表板,包含18个HF参数.
- 对于5个关键的HF临床参数,总体准确度达到了> 70%.
- 显示的积极预测值> 80%,最大限度地减少了错误的患者识别.
结论:
- 由于其灵活的参数驱动设计,仪表板是可扩展和可转移的.
- 使用标准化临床数据以实现广泛的应用.
- 敏捷开发和实时集成支持扩展到其他条件和环境.
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