真实世界数据来源的质量评估考量与提升对策

Quality Assessment Considerations and Improvement Strategies for Real world Data Sources

在药品审评和医疗决策领域,真实世界数据的收集和处理存在着可能导致数据不完整、不一致以及时效性等问题的挑战。这些质量问题可能极大地影响数据的解读和应用。本文深入探讨了真实世界数据来源质量评估的多方面考量,并给出了提升真实世界数据质量的多种策略,包括强化数据录入和管理过程、增强数据的一致性和合规性、强化数据的时效性和可追溯性、提升数据分析和解释能力。文章详细讨论了这些策略的实施过程,展示了如何通过这些方法显著提升数据的完整性与准确性、一致性与合规性、时效性与可追溯性。实施综合的数据质量管理策略,旨在为标准化和提升真实世界数据的质量提供科学和实践上的指导,以支持其在药品审评和医疗决策中更为有效的应用。

In the field of drug review and medical decision-making,the collection and processing of real-world data poses challenges that may lead to data incompleteness,inconsistency,and timeliness issues.These quality issues can significantly impact the interpretation and application of the data.This article provides an in-depth exploration of the various considerations for quality assessment of real-world data sources and provides various strategies for improving the quality of real-world data.This includes strengthening the data entry and management process,enhancing data consistency and compliance,strengthening data timeliness and traceability,and improving data analysis and interpretation capabilities.The article discusses the implementation process of these strategies in detail,showing how these methods can significantly improve data integrity and accuracy,consistency and compliance,timeliness and traceability.Implementing a comprehensive data quality management strategy aims to provide scientific and practical guidance for standardizing and improving the quality of real-world data to support its more effective application in drug review and medical decision-making.