Known and unknown requirements in healthcare
Known and unknown requirements in healthcare
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DOI：
10.1007/s00766-018-0301-6
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发表时间：
2020-03-01
影响因子：
2.8
通讯作者：
Leroi，Iracema
中科院分区：
文献类型：
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作者：
Sutcliffe，Alistair;Sawyer，Pete;Leroi，Iracema
我们报告了临床和认知神经科学专家在获取领域知识的需求方面的经验。启发目标是痴呆症早期迹象的因果模型，该模型由用户行为的变化和计算机活动日志中明显的错误表明。采用了德尔菲式流程，包括专家研讨会和问卷调查。本文描述了如何调整启发过程来处理术语中遇到的问题以及专家之间有限的共识。尽管遇到了困难，还是得出了用户行为病理和错误的部分因果模型。这告知了配置数据和文本挖掘工具以搜索特定数据模式的要求。介绍了从专家那里汲取的经验教训，并讨论了“未知的未知数”对需求的影响，以及指导数据/文本挖掘工具改进医疗保健应用程序中的认知需求的配置要求。
We report experience in requirements elicitation of domain knowledge from experts in clinical and cognitive neurosciences. The elicitation target was a causal model for early signs of dementia indicated by changes in user behaviour and errors apparent in logs of computer activity. A Delphi-style process consisting of workshops with experts followed by a questionnaire was adopted. The paper describes how the elicitation process had to be adapted to deal with problems encountered in terminology and limited consensus among the experts. In spite of the difficulties encountered, a partial causal model of user behavioural pathologies and errors was elicited. This informed requirements for configuring data- and text-mining tools to search for the specific data patterns. Lessons learned for elicitation from experts are presented, and the implications for requirements are discussed as “unknown unknowns”, as well as configuration requirements for directing data-/text-mining tools towards refining awareness requirements in healthcare applications.