Boag Alexander
Department of Pathology and Molecular Medicine, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
J Pathol Inform. 2015 Nov 27;6:62. doi: 10.4103/2153-3539.170649. eCollection 2015.
Synoptic pathology reports can serve as a rich source of cancer information, particularly when the content is available as discrete electronic data fields. Our institution generates such reports as part of a province wide program in Ontario but the resulting data is not easily extracted and analyzed at the local level.
A low cost system was developed using the open sourced and freely available R scripting/data analysis environment to parse synoptic report results into a dataframe and perform basic summary statistics.
As a pilot project text reports from 427 prostate needle biopsies were successfully read into R and the data elements split out and converted into appropriated data classes for analysis.
This approach provides a simple solution at minimal cost that can make discrete synoptic report data readily available for quality assurance and research activities.
概要病理报告可作为癌症信息的丰富来源，尤其是当内容以离散的电子数据字段形式存在时。我们机构作为安大略省全省范围内项目的一部分生成此类报告，但在本地层面，由此产生的数据不易提取和分析。
使用开源且免费可用的R脚本/数据分析环境开发了一个低成本系统，以将概要报告结果解析为数据框并进行基本的汇总统计。
作为一个试点项目，来自427例前列腺穿刺活检的文本报告被成功读入R，数据元素被拆分并转换为适合分析的数据类别。
这种方法以最低成本提供了一个简单的解决方案，可使离散的概要报告数据随时可用于质量保证和研究活动。
