Sensemaking in Intelligent Health Data Analytics
Sensemaking in Intelligent Health Data Analytics
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DOI：
10.1007/s13218-015-0349-0
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发表时间：
2015-06-01
影响因子：
2.9
通讯作者：
Sanches, Pedro
中科院分区：
文献类型：
--
作者：
Boman, Magnus;Sanches, Pedro
提出了一个系统的模型，使健康数据的意义，其中网络的远见补充智能数据分析。这里的数据通过解释过去和现在来服务于未来系统医学方法的目标，而远见可以通过解释未来来服务。轶事证据的案例研究，其中所面临的传统利益相关者的结果的policemakerare所面临的复杂的决策所取代的往往是平凡的问题，个人试图使感测器的输入和输出时，自我跟踪健康。结论是，我们的系统模型成功的意义建构的就业整合不仅与网络的远见数据，但也解开这些问题和用户的做法与他们的解决方案。
A systemic model for making sense of health data is presented, in which networked foresight complements intelligent data analytics. Data here serves the goal of a future systems medicine approach by explaining the past and the current, while foresight can serve by explaining the future. Anecdotal evidence from a case study is presented, in which the complex decisions faced by the traditional stakeholder of results-the policymakerare replaced by the often mundane problems faced by an individual trying to make sense of sensor input and output when self-tracking wellness. The conclusion is that the employment of our systemic model for successful sensemaking integrates not only data with networked foresight, but also unpacks such problems and the user practices associated with their solutions.