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Towards a framework to select techniques for error prediction: Supporting novice users in the healthcare sector

机译:建立选择错误预测技术的框架:支持医疗保健领域的新手

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摘要

Whilst healthcare has increased its awareness of the retrospective safety assessment techniques, such as root cause analysis, adoption of the corresponding predictive safety assessment techniques has been slow and sporadic. Reasons for this may include lack of support in technique choice and practical knowledge in the published literature. Whilst there have been many publications on these techniques, few have aimed to support the novice user in selecting a technique from the broad array of choice to facilitate targeting of education in techniques for specific purposes. This paper aims to address this through collecting an evidence base towards developing a bottom-up (resources and constraints) and top-down (requirements) approach to technique selection. Conclusions indicate there is a lack of practical experiences described in the literature to conclusively define a technique for selection and a need for a dedicated research in this area to make it accessible for healthcare and other novice users.
机译:尽管医疗保健部门已经提高了对追溯安全评估技术(例如根本原因分析)的认识,但采用相应的预测安全评估技术却进展缓慢且时有发生。造成这种情况的原因可能包括在出版的文献中缺乏对技术选择和实践知识的支持。尽管有许多关于这些技术的出版物,但很少有旨在支持新手用户从广泛选择中选择一种技术,以促进针对特定目的进行技术教育的目标。本文旨在通过收集证据基础来解决这一问题,以建立自下而上的(资源和约束)和自上而下的(要求)技术选择方法。结论表明,缺乏文献中描述的实践经验来最终确定一种选择技术,并且需要在该领域进行专门研究以使其可用于医疗保健和其他新手用户。

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