Sensemaking in Intelligent Health Data Analytics

作     者：Boman, Magnus Sanches, Pedro 

作者机构：SICS Box 1263 S-16429 Kista Sweden KTH ICT SCS S-16429 Kista Sweden 

出 版 物：《KUNSTLICHE INTELLIGENZ》 (KI - Kunstl. Intell.)

年 卷 期：2015年第29卷第2期

页      面：143-152页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：European Institute of Innovation and Technology  EIT 

主　　题：Artificial intelligence Massive data Health data Intelligent data analytics Syndromic surveillance Sensemaking 

摘      要：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.