Rahman Jabin Md Shafiqur, Pan Ding
Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden.
Faculty of Health Studies, University of Bradford, Bradford, UK.
Digit Health. 2023 Sep 20;9:20552076231203600. doi: 10.1177/20552076231203600. eCollection 2023 Jan-Dec.
To identify a subset of software issues occurring in daily Swedish healthcare practice and devise a set of local solutions to overcome the challenges.
A sample of 46 incident reports was collected from one of Sweden's national incident reporting repositories, ranging from June 2019 to December 2021. The reports were first subjected to an algorithm to identify if they were health information technology-related incidents and were analysed using an existing framework, i.e., the Health Information Technology Classification System, to identify the software-related incidents. The incidents associated with software issues were then subjected to thematic analysis, in which themes were extracted and presented under the category assigned by the existing framework used.
Of 46 reports, 45 (with one exception) were included using the algorithm. Of 45 incidents, 31 software-related incidents were identified using the classification system. Six types of software issues were identified, including software functionality ( = 10), interface with other software systems or components ( = 10), system configuration ( = 7), interface with devices ( = 2), record migration ( = 1) and increased volume of transactions ( = 1). Each issue was further categorised into different themes; for example, software interface-related problems were grouped into 'two patients being active in the system simultaneously' ( = 6) and 'transfer of patient information' ( = 4).
The study provided some insights into software issues and relevant consequences. A set of local solutions were devised to overcome the present challenges encountered in Swedish healthcare in their daily clinical practice. Systematic identification and characterisation of such software challenges should be a routine part of clinical practice for all major health information technology implementations.
识别瑞典日常医疗实践中出现的软件问题子集,并设计一套本地解决方案以应对挑战。
从瑞典国家事件报告库之一收集了46份事件报告样本,时间跨度为2019年6月至2021年12月。这些报告首先通过一种算法来确定它们是否为与健康信息技术相关的事件,并使用现有的框架(即健康信息技术分类系统)进行分析,以识别与软件相关的事件。然后,对与软件问题相关的事件进行主题分析,在该分析中提取主题并按照所使用的现有框架指定的类别进行呈现。
在46份报告中,使用该算法纳入了45份(有一份除外)。在45起事件中,使用分类系统识别出31起与软件相关的事件。识别出六种类型的软件问题,包括软件功能(=10)、与其他软件系统或组件的接口(=10)、系统配置(=7)、与设备的接口(=2)、记录迁移(=1)和交易量增加(=1)。每个问题进一步细分为不同的主题;例如,与软件接口相关的问题被归类为“两名患者同时在系统中处于活跃状态”(=6)和“患者信息转移”(=4)。
该研究提供了对软件问题及相关后果的一些见解。设计了一套本地解决方案,以克服瑞典医疗保健在日常临床实践中遇到的当前挑战。对于所有主要的健康信息技术实施,系统地识别和描述此类软件挑战应成为临床实践的常规部分。