Olakotan Olufisayo, Mohd Yusof Maryati, Ezat Wan Puteh Sharifa
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia.
Faculty of Medicine, Univerisiti Kebaangsaan Malaysia.
Stud Health Technol Inform. 2020 Jun 16;270:906-910. doi: 10.3233/SHTI200293.
Clinical decision support systems (CDSSs) provides vital information for managing patients by advising clinicians through an alert or reminders about adverse events and medication errors. Clinicians receive a high number of alerts, resulting in alert override and workflow disruptions. A systematic review was carried out to identify factors affecting CDSS alert appropriateness in supporting clinical workflows using a recently introduced framework. The review findings identified several influencing factors of CDSS alert appropriateness including: technology (usability, alert presentation, workload and data entry), human (training, knowledge and skills, attitude and behavior), organization (rules and regulation, privacy and security) and process (waste, delay, tuning and optimization). The findings can be used to guide the design of CDSS alert and minimise potential safety hazards associated with CDSS use.
临床决策支持系统（CDSSs）通过向临床医生发出关于不良事件和用药错误的警报或提醒，为患者管理提供重要信息。临床医生会收到大量警报，导致警报被忽略以及工作流程中断。利用最近引入的一个框架，开展了一项系统综述，以确定在支持临床工作流程方面影响CDSS警报适当性的因素。综述结果确定了几个影响CDSS警报适当性的因素，包括：技术（可用性、警报呈现、工作量和数据录入）、人员（培训、知识和技能、态度和行为）、组织（规则和条例、隐私和安全）以及流程（浪费、延迟‘调整和优化）。这些结果可用于指导CDSS警报的设计，并将与使用CDSS相关的潜在安全隐患降至最低。
