A qualitative study of the implementation of a bioinformatics tool in a biological research laboratory

被引:164
作者
Anderson, Nicholas R.
Ash, Joan S.
Tarczy-Hornoch, Peter
机构
[1] Univ Washington, Dept Biomed & Hlth Informat, Seattle, WA 98195 USA
[2] Oregon Hlth & Sci Univ, Dept Med Informat & Clin Epidemiol, Portland, OR 97201 USA
关键词
evaluation studies; bioinformatics; systems analysis;
D O I
10.1016/j.ijmedinf.2006.09.022
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objective: To explore how the implementation of a comprehensive new bioinformatics analysis system would affect workflow, collaboration and information management in a small genetic research lab. Design: This was a longitudinal qualitative study of seven individuals involved in genomic and proteomic research. The study data were gathered using the illuminative/responsive approach of immersion in the environment. Additional qualitative data were gathered using informal semi-structured interviews, participant observation in lab meetings, and direct observation of lab researchers engaged in specific tasks. Measurements: Interview, observation and field note data were coded and analyzed based on three analysis perspectives. A subset of the data was independently evaluated by an external researcher to enhance the trustworthiness of results. Results: Three reoccurring themes were observed in the study. (1) Satisfaction and acceptance of software tools tended to be role and goal specific. (2) The system was seen primarily as a measurement system rather than a "total laboratory analysis system". (3) Lab meetings deemphasized the system, preferring more traditional data analysis techniques. These themes support the observations that the system was not used to its full potential in the lab. Conclusion: Themes identified in this study suggest that sophisticated genetic researchers face similar problems of technology implementation as do professionals in other fields. We recommend that leadership support and on-going training and evolution of academic curricula can improve chances of bioinformatics analysis systems becoming used more effectively. (C) 2006 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:821 / 828
页数:8
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