Christoph Jan, Knell Christian, Naschberger Elisabeth, Stürzl Michael, Maier Christian, Prokosch Hans-Ulrich, Sedlmayr Martin
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.
Division of Molecular and Experimental Surgery, Department of Surgery, Translational Research Center Erlangen, Universitätsklinikum Erlangen, Germany.
Stud Health Technol Inform. 2017;236:70-79.
For translational research, software platforms such as tranSMART with an integrated view of both clinical and omics data have gained more and more attention in the last years.
We wanted to examine the success and failures of tranSMART in the fields of translational research and education by looking at the examples of six use cases at our hospital. We wanted to point out suitable scenarios and user groups as well as still existing challenges and limitations.
We sum up the experience we made with our use cases with a focus on lessons learned.
tranSMART was successfully established by a bottom-up approach at our university hospital and has been running for more than two years now. It has been used in four translational research projects as well as in education in the context of lectures and bachelor/master theses.
tranSMART can be a very useful tool for translational research and education. But it should be used with both care and statistical knowledge to avoid wrong conclusions. Some technical constraints, especially for data modeling, still limit many applications. Version control and data provenance are remaining challenges.
在过去几年中，对于转化医学研究而言，诸如tranSMART这类能够综合呈现临床数据和组学数据的软件平台越来越受到关注。
我们希望通过本院六个用例，考察tranSMART在转化医学研究和教育领域的成功与不足。我们希望指出合适的应用场景和用户群体，以及依然存在的挑战和局限。
我们总结在用例中获得的经验，重点关注吸取的教训。
tranSMART在我们的大学医院通过自下而上的方式成功建立，至今已运行两年多。它已被用于四个转化医学研究项目以及讲座和学士/硕士论文形式的教育中。
tranSMART对于转化医学研究和教育可能是非常有用的工具。但使用时应谨慎并具备统计学知识，以避免得出错误结论。一些技术限制，尤其是数据建模方面的限制，仍然制约着许多应用。版本控制和数据溯源仍是挑战。
