Staccini P, Quaranta J F, Hergon E, Joubert M, Fieschi M
Département d'information médicale, hôpital de Cimiez, Nice, France.
Transfus Clin Biol. 2000 Apr;7(2):140-52. doi: 10.1016/s1246-7820(00)88944-2.
Within a hospital, the need for a computer-based transfusion system has became mandatory. It facilitates the tracing of healthcare activities, which is the basis of the security of the care and a functional element of continuous quality improvement procedures. In order to implement this traceability, reactive and real-time information systems are needed close to healthcare participants, which is not the case of current information systems which rely on a recorded collection of data, far from the needs of the caregiver, and mainly answering to an objective evaluation of results. In the context of continuous quality improvement programmes started in our hospital, hemovigilance was the first to use a process analysis approach, from the prescription of blood units to their administration and follow-up. Several questions arise from this: 1) how to use the process analysis work to specify the users' needs of a generalized and real-time transfusion information system? 2) how to spread this model to other healthcare activities? 3) how to integrate or interface the whole of these quality programmes with a clinical information system? A user-centered methodology was used, based on 'usage cases'. For each step of the transfusion process, this method allowed us to specify participants, data necessary for an activity (observed, deduced or decision-support data), data issuing from the activity, roles (the interaction between user and activity) and functions (the result of the interaction between user and activity).
在医院内部,基于计算机的输血系统已成为必需品。它有助于追踪医疗活动,这是医疗安全的基础以及持续质量改进程序的一个功能要素。为了实现这种可追溯性,需要在医疗参与者附近建立反应性和实时信息系统,而当前的信息系统并非如此,它们依赖于数据的记录收集,远离护理人员的需求,主要是为了对结果进行客观评估。在我们医院启动的持续质量改进计划的背景下,血液警戒率先采用了一种过程分析方法,从血液单位的处方到其输注和随访。由此产生了几个问题:1)如何利用过程分析工作来明确通用实时输血信息系统的用户需求?2)如何将该模型推广到其他医疗活动?3)如何将所有这些质量计划与临床信息系统集成或对接?基于“用例”采用了一种以用户为中心的方法。对于输血过程的每个步骤,这种方法使我们能够明确参与者、一项活动所需的数据(观察到的数据、推断出的数据或决策支持数据)、活动产生的数据、角色(用户与活动之间的交互)以及功能(用户与活动之间交互的结果)。