文章通过一个详细的案例研究,描述一个医保组织使用假设测试和验证方法发现信息质量问题的过程。这种方法沿用传统的科学观察方法,提出一个假设,并对其进行测试,验证这一假设是合理的。文章认为,尽管这一案例代表一个企业的经验,但仍可以作为解决取得高质量信息的问题和复杂性的综合实例。
In this paper we present a detailed case study describing the uncovering of the causes of data quality problems at a health care organization. This company used a hypothesis testing and verification approach. In essence, this approach follows the classical scientific method of observing, generating a hypothesis, and testing and verifying that the hypothesis holds. Overall, the case represents one company' s experience. It nevertheless serves as a comprehensive example of how one might address the issues and complexities of achieving high-quality data.