In contemporary policy discourses, data are presented as key assets for improving health-care quality: policymakers want health care to become ‘data driven’. In this article, we focus on a particular example of this ambition, namely a new Danish national quality development program for general practitioners (GPs) where doctors are placed in so-called ‘clusters’. In these clusters, GPs are obliged to assess their own and colleagues’ clinical quality with data derived from their own clinics—using comparisons, averages and benchmarks. Based on semi-structured interviews with Danish GPs and drawing on Science and Technology Studies, we explore how GPs understand these data, and what makes them trust—or question—a data analysis. The GPs describe how they change clinical practices based on these discussions of data. So, when and how do data for quality assurance come to influence their perceptions of quality? By exploring these issues, we carve out a role for a sociological engagement with evidence in everyday medical practices. In conclusion, we suggest a need to move from the aim of being data driven to one of being data informed.

中文翻译：

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数据驱动还是数据通知？全科医生如何使用数据来评估自己和同事的集群临床工作

在当代政策讨论中，数据被视为提高医疗保健质量的关键资产：政策制定者希望医疗保健成为“数据驱动”。在本文中，我们重点关注这一雄心壮志的一个具体例子，即丹麦新的全科医生 (GP) 国家质量发展计划，其中医生被安置在所谓的“集群”中。在这些集群中，全科医生有义务利用来自自己诊所的数据，使用比较、平均值和基准来评估自己和同事的临床质量。基于对丹麦全科医生的半结构化访谈并借鉴科学和技术研究，我们探讨了全科医生如何理解这些数据，以及是什么让他们信任或质疑数据分析。全科医生描述了他们如何根据这些数据讨论来改变临床实践。那么，质量保证数据何时以及如何影响他们对质量的看法呢？通过探索这些问题，我们在日常医疗实践中发挥了社会学参与证据的作用。总之，我们建议需要从数据驱动的目标转向数据知情的目标。