Staccini P, Douali N
Yearb Med Inform. 2014 Aug 15;9(1):195-8. doi: 10.15265/IY-2014-0038.
To provide a review of the current excellent research published in the field of Consumer Health Informatics.
We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers.
Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals' health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients' perception on privacy and social media.
Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients' opinion on healthcare resources.
对消费者健康信息学领域目前发表的优秀研究进行综述。
我们在MEDLINE®和科学网®数据库中检索了2013年发表的与消费者健康信息学相关的论文。作者确定了16篇候选最佳论文,然后由四位评审员进行评审。
16篇候选论文中有5篇被选为最佳论文。一篇论文介绍了一个系统的关键特性,该系统可自动收集基于网络的社交媒体内容以进行后续语义标注。本文强调了挖掘社交媒体以收集新数据的重要性,从这些数据中发现了药物滥用研究中的新发现。第二篇论文提出了一种实用方法,用于预测社区结构将如何影响社区内信息的传播。第三篇论文提出了一种提高在线健康社区质量的方法。第四篇论文提出了一个新的社交网络,用于监测个人健康状况的演变以及康复过程中的诊断缺陷、困难或障碍。最后一篇论文报告了青少年患者对隐私和社交媒体的看法。
入选论文不仅展示了在医学领域使用社交媒体的价值,还展示了如何利用这些媒体来检测新发疾病或风险、告知患者、促进疾病预防以及了解患者对医疗资源的看法。