Bouaud J, Koutkias V
Dr Jacques Bouaud, LIMICS - INSERM U1142, Campus des Cordeliers, 15, rue de l'école de médecine, 75006 Paris, France, Tél. +33 1 44 27 92 10, E-mail:
Yearb Med Inform. 2015 Aug 13;10(1):119-24. doi: 10.15265/IY-2015-036.
To summarize recent research and propose a selection of best papers published in 2014 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook.
A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry systems in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was finally organized to conclude on the selection of best papers.
Among the 1,254 returned papers published in 2014, the full review process selected four best papers. The first one is an experimental contribution to a better understanding of unintended uses of CDSSs. The second paper describes the effective use of previously collected data to tailor and adapt a CDSS. The third paper presents an innovative application that uses pharmacogenomic information to support personalized medicine. The fourth paper reports on the long-term effect of the routine use of a CDSS for antibiotic therapy.
As health information technologies spread more and more meaningfully, CDSSs are improving to answer users' needs more accurately. The exploitation of previously collected data and the use of genomic data for decision support has started to materialize. However, more work is still needed to address issues related to the correct usage of such technologies, and to assess their effective impact in the long term.
总结近期研究,并为《国际医学信息学协会年鉴》决策支持板块挑选2014年发表在计算机化临床决策支持领域的最佳论文。
通过检索两个文献数据库,查找与临床决策支持系统(CDSS)和计算机化医嘱录入系统相关的论文,以选出候选最佳论文列表,然后由外部评审员进行同行评审。最后,两个板块编辑与编辑团队组织了一次共识会议,以确定最佳论文的选择。
在2014年发表的1254篇返回论文中,完整的评审过程选出了四篇最佳论文。第一篇是对更好地理解CDSS意外用途的实验性贡献。第二篇论文描述了有效利用先前收集的数据来定制和调整CDSS。第三篇论文展示了一项创新应用,即利用药物基因组学信息支持个性化医疗。第四篇论文报告了CDSS常规用于抗生素治疗的长期效果。
随着健康信息技术越来越有意义地传播,CDSS正在不断改进,以更准确地满足用户需求。利用先前收集的数据和使用基因组数据进行决策支持已经开始成为现实。然而,仍需要做更多工作来解决与此类技术正确使用相关的问题,并评估其长期有效影响。