Abstract：Safety checklists have gain increasingly attention in recent years as an effective way of standardizing healthcare. They serve as a quality improving tool by enabling providers checking the variance between the actual situation and the best practice prior to the critical activities. However, the traditional checklists in paper form are lack of integration with clinical workflow, specification to individual patients and information system support, which increases the workload of providers and leads to ineffective implementation. This study decomposed safety checklist knowledge into 4 layers, i.e. clinical workflow, checklist form, medical algorithm and supplementary information, aiming to make checklists adjustable and executable by computerized systems. A support system had been developed according to the checklist representation and execution mechanism. The system was able to reduce the providers' workload by integrating checklist into the daily care process of providers for individual patients and providing related patient data and knowledge. A percutaneous coronary intervention peri-operative checklist set had been used to validate the proposed system. By using the system, the process was decomposed into 11 scenarios integrated with the actual clinical workflow. In each scenario, a group of clinical algorithms was applied to produce checkable items. The results indicated that the proposed approach effectively supported the representation and execution of checklists and providers could have benefit from the system by using the process-oriented and patient-specific checklists.
南 山, 吕旭东, 杨智翔, 刘昱圻, 陈韵岱, 段会龙. 一种面向医疗安全的智能清单系统[J]. 中国生物医学工程学报, 2017, 36(3): 329-335.
Nan Shan, Lu Xudong, Yang Zhixiang, Liu Yuqi, Chen Yundai, Duan Huilong. An Intelligent Support System for Patient Safety Checklists. Chinese Journal of Biomedical Engineering, 2017, 36(3): 329-335.
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