培训和评估质量控制审核人员在技术启用抽象现实世界的数据的重要性:一个案例研究
Arelis Hernandez1, Victoria Sweeney1, Amelia Deitsch1
1Syapse, Inc., West Chester, Pennsylvania.
Journal of registry management
|August 26, 2024
概括
高质量的癌症注册数据依赖于对质量控制 (QC) 专业人员的有效培训. 这就是Syapsese.
科学领域:
- 在瘤学瘤学.
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 准确的癌症注册数据对于有效的癌症预防和治疗策略至关重要.
- 质量控制 (QC) 计划需要适当的教育和培训才能成功实施.
- 评估质量控制计划的有效性是确保数据完整性的必要条件.
研究的目的:
- 描述Syapse对瘤数据专家 (ODS) 的严格QC培训计划.
- 通过同行和评审者之间的评审 (IRR) 程序来评估数据质量和评审者的一致性.
- 评估培训计划对技能获取的影响.
主要方法:
- 实施QC培训计划,包括对数据质量评估的同行评审.
- 建立一个评审者间评审 (IRR) 程序,以评估QC评审者的一致性.
- 管理一个问卷以评估同行评审的经验和技能获取.
主要成果:
- 在各种癌症类型的IRR病例中观察到高达成协议率 (例如,结肠97.74%,肺98.03%).
- 同行评审过程表明,培训计划促进了新技能的获得.
- Syapse的ODS认证专业人员证明了对现实世界证据 (RWE) 平台的数据策划的熟练程度.
结论:
- 强大的质量控制培训和评估对于确保技术支持数据处理中的数据质量至关重要.
- 投资培训和专业发展为QC审查员是支持癌症研究的关键.
- Syapse的程序有效地维护了他们的RWE平台上的数据质量标准.
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