TY - JOUR AU - Sharma, Videha AU - Eleftheriou, Iliada AU - van der Veer, Sabine N AU - Brass, Andrew AU - Augustine, Titus AU - Ainsworth, John PY - 2022 DA - 2022/4/21 TI -为肾移植服务的数字化转型建模数据旅程:观察研究JO - J Med Internet Res SP - e31825 VL - 24 IS - 4kw -数字转换KW -健康信息交换KW -互操作性KW -医疗信息学KW -数据旅程建模KW -肾移植AB -背景:数据旅程建模是一种用于建立医疗保健系统中信息技术(IT)基础设施的高级概述的方法。它可以更好地理解社会技术障碍，从而为有意义的数字转型提供信息。肾移植是一项复杂的临床服务，涉及多个专家和提供者。移植的转诊路径需要跨多个IT解决方案和医疗保健组织将患者数据集中起来。目前，人们对IT在这一过程中的作用知之甚少，特别是在患者数据管理、临床沟通和工作流支持方面。目的:应用数据旅程建模来更好地理解区域多中心肾脏移植服务的互操作性、数据访问和工作流需求。方法:采用增量法建立数据行程模型。这包括对服务文档的审查、领域专家访谈和迭代建模会议。基于LOAD(场景、组织、参与者和数据)框架对结果进行分析，以提供对当前数据管理挑战的有意义的评估，并为IT克服这些挑战提供方法。 Results: Results were presented as a diagram of the organizations (n=4), IT systems (n>9), actors (n>4), and data journeys (n=0) involved in the transplant referral pathway. The diagram revealed that all movement of data was dependent on actor interaction with IT systems and manual transcription of data into Microsoft Word (Microsoft, Inc) documents. Each actor had between 2 and 5 interactions with IT systems to capture all relevant data, a process that was reported to be time consuming and error prone. There was no interoperability within or across organizations, which led to delays as clinical teams manually transferred data, such as medical history and test results, via post or email. Conclusions: Overall, data journey modeling demonstrated that human actors, rather than IT systems, formed the central focus of data movement. The IT landscape did not complement this workflow and exerted a significant administrative burden on clinical teams. Based on this study, future solutions must consider regional interoperability and specialty-specific views of data to support multi-organizational clinical services such as transplantation. SN - 1438-8871 UR - //www.mybigtv.com/2022/4/e31825 UR - https://doi.org/10.2196/31825 UR - http://www.ncbi.nlm.nih.gov/pubmed/35451983 DO - 10.2196/31825 ID - info:doi/10.2196/31825 ER -