匹配患者以加速临床试验 (MPACT):为瘤学临床试验工作流程提供技术
Nhan V Do1,2, Danne C Elbers1,3, Nathanael R Fillmore1,3
1VA Boston Healthcare System, Boston MA, USA.
Studies in health technology and informatics
|January 25, 2024
概括
在退伍军人卫生管理局 (VHA) 中,MPACT平台简化了针对癌症患者的临床试验查. 该工具使用自然语言处理来减少研究协调员花费在识别符合条件的参与者的时间.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 临床试验管理 临床试验管理
背景情况:
- 临床试验招生因患者查过程耗时而面临重大延迟.
- 退伍军人卫生管理局 (VHA) 优先考虑加强退伍军人获得高质量的癌症临床试验.
研究的目的:
- 开发和评估MPACT (匹配患者以加速临床试验) 平台.
- 为研究协调员提高临床试验查过程的效率.
主要方法:
- 在研究协调员的投入下开发了MPACT平台.
- 综合自然语言处理 (NLP) 和数据科学为资格标准的表型化.
- 实行试验预先查和患者查的工作流程.
- 包括追踪患者资格状况随时间推移的功能.
主要成果:
- MPACT使用NLP和数据科学来生成可靠的临床现象型和临床试验资格标准.
- 该平台支持预选和选工作流程.
- 用户报告说,识别符合条件的患者所需的时间减少了.
- 质量反表明查效率有望提高.
结论:
- MPACT平台有效地解决了临床试验查中的时间负担.
- 在VHA内,MPACT提高了在癌症临床试验中识别符合条件的患者的效率.
- 在MPACT中使用NLP和数据科学显示了在临床试验匹配中更广泛应用的潜力.
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