Hruby Gregory W, Cimino James J, Patel Vimla, Weng Chunhua
Department of Biomedical Informatics, Columbia University, New York City.
Department of Biomedical Informatics, Columbia University, New York City ; NIH Clinical Center, Bethesda, Maryland.
AMIA Jt Summits Transl Sci Proc. 2014 Apr 7;2014:218-22. eCollection 2014.
In many institutions, data analysts use a Biomedical Query Mediation (BQM) process to facilitate data access for medical researchers. However, understanding of the BQM process is limited in the literature. To bridge this gap, we performed the initial steps of a cognitive task analysis using 31 BQM instances conducted between one analyst and 22 researchers in one academic department. We identified five top-level tasks, i.e., clarify research statement, explain clinical process, identify related data elements, locate EHR data element, and end BQM with either a database query or unmet, infeasible information needs, and 10 sub-tasks. We evaluated the BQM task model with seven data analysts from different clinical research institutions. Evaluators found all the tasks completely or semi-valid. This study contributes initial knowledge towards the development of a generalizable cognitive task representation for BQM.
在许多机构中，数据分析师使用生物医学查询调解（BQM）流程来方便医学研究人员获取数据。然而，文献中对BQM流程的了解有限。为了弥补这一差距，我们在一个学术部门对一名分析师和22名研究人员之间进行的31个BQM实例进行了认知任务分析的初步步骤。我们确定了五个顶级任务，即澄清研究陈述、解释临床过程、识别相关数据元素、定位电子健康记录（EHR）数据元素，以及以数据库查询或未满足、不可行的信息需求结束BQM，还有10个子任务。我们与来自不同临床研究机构的七名数据分析师对BQM任务模型进行了评估。评估人员发现所有任务完全或部分有效。本研究为开发可推广的BQM认知任务表示法贡献了初步知识。
