在儿科医院建立计算机辅助药物处方:日内瓦儿童医院的8年经验

G. Scala, C. Fonzo-Christe, S. Chalier, Magali Despond, C. Lovis, Bertrand Guignrd, K. Posfay-Barbe
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引用次数: 0

摘要

日内瓦大学医院(HUG)有一个机构项目,实施计算机化医嘱输入系统,以取代口头和手写处方以及抄写,以减少错误和相关的药物不良事件。CPOE的发展最初是针对成人患者的。为开发儿科药物数据库,于2006年成立了一个专门的工作组,即PRESCO-PED。该小组负责评估需求,建立和维护儿科最常用处方药的数据库。PRESCO-PED包括代表大多数儿科专业的医生,如重症监护、新生儿学、急诊、肿瘤学、普通儿科、外科、矫形外科、麻醉学、传染病和精神病学,并与护士代表、药剂师和计算机专家合作。药物数据库必须是针对儿科的,结构化的,由专家验证的,并且易于更新。该机构有几个药物数据集,如药房的注射用药指南、护士方案和不同的出版参考文献。然而,所有这些都是不完整的,不是结构化的,或者不能直接用于数据库。首先必须确定每种药物所需的所有变量:品牌名称、国际非专利名称(INN)、单位剂量、间隔、最大单位剂量、最大日剂量、给药途径、流速、配方、根据患者年龄、胎龄、体重、体表指数等给药的特定剂量。最常用的药物,对应346份用药记录,分别分配给该组的两名专家,根据药物主要使用的专业进行选择。经两位专家确认后,编制了一个数据库,并由教科文组织再次核实。该数据库的另一个目的是使该系统能够建议标准处方方案并触发警报,例如当超过最大剂量时。然后,在临床环境中实施之前,除了常规用户之外,还由PRESCO-PED成员的一个亚组对数据库中的药物处方进行模拟患者测试。为了促进最终用户的接受,除药物处方外,预防药物合作与发展委员会还决定研究处方集,通过将与特定临床环境相关的多个订单(患者监测、实验室检查、放射学、药物、喂养和静脉输液等)合并在一个界面中,简化和加快处方。以相同的质量标准,还创建了儿科肠内营养处方界面。在为期10个月的20届经发规划署会议之后,所有药物和几套订单都已准备就绪,数据库也已完成并可供使用。在处方界面上,由于具有典型的象形图,儿科药物很容易与成人药物区分开来。2007年1月,在对所有卫生保健工作者进行了有组织的培训,并得到医疗信息技术人员和PRESCO-PED成员的现场协助后,首次在儿科外科实施了带药物处方的CPOE。在两个多月的时间里,它逐步部署到整个儿童医院。自实施药物处方计划以来,经社合作与发展规划署一直积极举行每月会议,定期更新数据库,增加订单集的数量,纠正错误,改进药物处方的使用。我们将回顾我们的方案所面临的挑战、困难和取得的成功,并将我们的计划着眼于未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creation of computer-assisted drug prescription in a pediatric hospital: the 8 years experience of the Children’s Hospital of Geneva
The University Hospitals of Geneva (HUG) had an institutional project to implement a computerised physician order entry (CPOE) system to replace verbal and handwritten prescriptions as well as transcription, in order to decrease errors and related adverse drug events. Development of CPOE was first intended for adult patients. A dedicated working group, PRESCO-PED, was created in 2006 for the development of the paediatric drug database. This group was in charge of evaluating the needs and building and maintaining a database of the most-prescribed drugs in paediatrics. PRESCO-PED included physicians representing most paediatric specialties, such as intensive care, neonatology, emergency, oncology, general paediatrics, surgery, orthopaedic surgery, anaesthesiology, infectious diseases and psychiatry, in cooperation with nurse representatives, pharmacists, and computer specialists. The drug database had to be specific to paediatrics, structured, validated by experts, and easy to update. Several drug datasets were available in the institution, such as the injectable drug administration guide of the pharmacy, nurses’ protocols, and different published references. However, all were incomplete, not structured or not directly exploitable for the database. All the variables required per drug first had to be defined: brand name, international nonproprietary name (INN), unit dose, interval, maximal unit dose, maximal daily dose, route of administration, flow rate, formulation, specific dosage according to patient’s age, gestational age, body weight, body surface index, etc. The most frequently used drugs, corresponding to 346 drug records, were each distributed  to two experts in the group, chosen according to the specialty in which the drug was mainly used. After validation by both experts, a database was compiled and verified again by PRESCO-PED. The additional aim of this database was to allow the system to suggest standard prescriptions schemes and to trigger alerts, for example when maximal doses were exceeded. The prescription of drugs in the database was then tested with mock patients by a subgroup of members of PRESCO-PED in addition to regular users, prior to implementation in a clinical setting. In order to facilitate acceptance by the end-users, in addition to drug prescription, PRESCO-PED decided to work on order sets, which simplified and accelerated prescriptions by combining in a single interface multiple orders (patient monitoring, laboratory tests, radiology, drugs, feeding and IV fluids, among others) associated with a specific clinical setting. With the same quality standards, a paediatric enteral nutrition prescription interface was also created. After 20 sessions of PRESCO-PED over a period of 10 months, all drugs and several order sets were available, with the database completed and ready for use. Drugs specific to paediatrics were easily differentiated from adult drugs in the prescription interface thanks to a characteristic pictogram. CPOE with drug prescription was first implemented in January 2007 in the paediatric surgery department, after structured training of all healthcare workers, and on-site assistance by medical IT personnel and members of PRESCO-PED. Over two months it was progressively deployed throughout the entire Children’s Hospital. Since the implementation of CPOE, PRESCO-PED remains active with monthly meetings,  regularly updating the database, increasing the number of order sets, correcting errors, and improving the use of drug prescription. We will review the challenges, the difficulties and successes of our programme and will put our plans in perspective for the future.
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