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Development and pilot testing of PHARAO—a decision support system for pharmacological risk assessment in the elderly

机译:法老的发展与试验试验 - 老年药理学风险评估决策支持系统

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Abstract Purpose The aims of this study are to describe the development of PHARAO (Pharmacological Risk Assessment Online), a decision support system providing a risk profile for adverse events, associated with combined effects of multiple medicines, and to present data from a pilot study, testing the use, functionality, and acceptance of the PHARAO system in a clinical setting. Methods About 1400 substances were scored in relation to their risk to cause any of nine common and/or serious adverse effects. Algorithms for each adverse effect score were developed to create individual risk profiles from the patient’s list of medication. The system was tested and integrated to the electronic medical record, during a 4-month period in two geriatric wards and three primary healthcare centers, and a questionnaire was answered by the users before and after the test period. Results A total of 732 substances were tagged with one or more of the nine risks, most commonly with the risk of sedation or seizures. During the pilot, the system was used 933 times in 871 patients. The most common signals generated by PHARAO in these patients were related to the risks of constipation, sedation, and bleeding. A majority of responders considered PHARAO easy to use and that it gives useful support in performing medication reviews. Conclusions The PHARAO decision support system, designed as a complement to a database on drug-drug interactions used nationally, worked as intended and was appreciated by the users during a 4-month test period. Integration aspects need to be improved to minimize unnecessary signaling.
机译:摘要目的本研究的目的是描述法罗安的发展(在线药理风险评估),决策支持系统提供了与多种药物的组合效果相关的不利事件的风险概况,以及从试点研究提供数据,在临床环境中测试Pharao系统的使用,功能和接受。方法与其风险有关约1400种物质,使其引起九九常见和/或严重不良影响。开发了每个不利影响分数的算法,以从患者的药物清单中创建个人风险概况。该系统经过测试并纳入电子医疗记录,在两位老年病房和三个主要医疗中心的4个月内,并在测试期之前和之后的用户回答了问卷。结果总共732种物质与九个风险中的一个或多个标记,最常见于镇静或癫痫发作的风险。在试验期间,系统在871名患者中使用了933次。这些患者在这些患者中产生的最常见的信号与便秘,镇静和出血的风险有关。大多数受访者认为易于使用,并且它在表演药物评论方面提供了有益的支持。结论法茂决策支持系统,设计为对国家使用的药物互动数据库的补充,按计划工作,并在4个月的测试期间由用户感谢。需要改进集成方面以最小化不必要的信令。

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