PrescIT 平台:可互操作的电子处方临床决策支持系统,用于预防药物不良反应和药物间相互作用。

IF 4 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Drug Safety Pub Date : 2024-10-01 Epub Date: 2024-07-20 DOI:10.1007/s40264-024-01455-z
Pantelis Natsiavas, George Nikolaidis, Jenny Pliatsika, Achilles Chytas, George Giannios, Haralampos Karanikas, Margarita Grammatikopoulou, Martha Zachariadou, Vlasios Dimitriadis, Spiros Nikolopoulos, Ioannis Kompatsiaris
{"title":"PrescIT 平台:可互操作的电子处方临床决策支持系统,用于预防药物不良反应和药物间相互作用。","authors":"Pantelis Natsiavas, George Nikolaidis, Jenny Pliatsika, Achilles Chytas, George Giannios, Haralampos Karanikas, Margarita Grammatikopoulou, Martha Zachariadou, Vlasios Dimitriadis, Spiros Nikolopoulos, Ioannis Kompatsiaris","doi":"10.1007/s40264-024-01455-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Preventable medication errors have been proven to cause significant public health burden, and ePrescription is a key part of the process where medication errors and adverse effects could be prevented. Information systems and \"intelligent\" computational approaches could provide a valuable tool to prevent such errors with profound impact in clinical practice.</p><p><strong>Objectives: </strong>The PrescIT platform is a Clinical Decision Support System (CDSS) that aims to facilitate the prevention of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) in the phase of ePrescription in Greece. The proposed platform could be relatively easily localized for use in other contexts too.</p><p><strong>Methods: </strong>The PrescIT platform is based on the use of Knowledge Engineering (ΚΕ) approaches, i.e., the use of Ontologies and Knowledge Graphs (KGs) developed upon openly available data sources. Open standards (i.e., RDF, OWL, SPARQL) are used for the development of the platform enabling the integration with already existing IT systems or for standalone use. The main KG is based on the use of DrugBank, MedDRA, SemMedDB and OpenPVSignal. In addition, the Business Process Management Notation (BPMN) has been used to model long-term therapeutic protocols used during the ePrescription process. Finally, the produced software has been pilot tested in three hospitals by 18 clinical professionals via in-person think-aloud sessions.</p><p><strong>Results: </strong>The PrescIT platform has been successfully integrated in a transparent fashion in a proprietary Hospital Information System (HIS), and it has also been used as a standalone application. Furthermore, it has been successfully integrated with the Greek National ePrescription system. During the pilot phase, one psychiatric therapeutic protocol was used as a testbed to collect end-users' feedback. Summarizing the feedback from the end-users, they have generally acknowledged the usefulness of such a system while also identifying some challenges in terms of usability and the overall user experience.</p><p><strong>Conclusions: </strong>The PrescIT platform has been successfully deployed and piloted in real-world environments to evaluate its ability to support safer medication prescriptions.</p>","PeriodicalId":11382,"journal":{"name":"Drug Safety","volume":" ","pages":"1051-1059"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions.\",\"authors\":\"Pantelis Natsiavas, George Nikolaidis, Jenny Pliatsika, Achilles Chytas, George Giannios, Haralampos Karanikas, Margarita Grammatikopoulou, Martha Zachariadou, Vlasios Dimitriadis, Spiros Nikolopoulos, Ioannis Kompatsiaris\",\"doi\":\"10.1007/s40264-024-01455-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Preventable medication errors have been proven to cause significant public health burden, and ePrescription is a key part of the process where medication errors and adverse effects could be prevented. Information systems and \\\"intelligent\\\" computational approaches could provide a valuable tool to prevent such errors with profound impact in clinical practice.</p><p><strong>Objectives: </strong>The PrescIT platform is a Clinical Decision Support System (CDSS) that aims to facilitate the prevention of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) in the phase of ePrescription in Greece. The proposed platform could be relatively easily localized for use in other contexts too.</p><p><strong>Methods: </strong>The PrescIT platform is based on the use of Knowledge Engineering (ΚΕ) approaches, i.e., the use of Ontologies and Knowledge Graphs (KGs) developed upon openly available data sources. Open standards (i.e., RDF, OWL, SPARQL) are used for the development of the platform enabling the integration with already existing IT systems or for standalone use. The main KG is based on the use of DrugBank, MedDRA, SemMedDB and OpenPVSignal. In addition, the Business Process Management Notation (BPMN) has been used to model long-term therapeutic protocols used during the ePrescription process. Finally, the produced software has been pilot tested in three hospitals by 18 clinical professionals via in-person think-aloud sessions.</p><p><strong>Results: </strong>The PrescIT platform has been successfully integrated in a transparent fashion in a proprietary Hospital Information System (HIS), and it has also been used as a standalone application. Furthermore, it has been successfully integrated with the Greek National ePrescription system. During the pilot phase, one psychiatric therapeutic protocol was used as a testbed to collect end-users' feedback. Summarizing the feedback from the end-users, they have generally acknowledged the usefulness of such a system while also identifying some challenges in terms of usability and the overall user experience.</p><p><strong>Conclusions: </strong>The PrescIT platform has been successfully deployed and piloted in real-world environments to evaluate its ability to support safer medication prescriptions.</p>\",\"PeriodicalId\":11382,\"journal\":{\"name\":\"Drug Safety\",\"volume\":\" \",\"pages\":\"1051-1059\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug Safety\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s40264-024-01455-z\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40264-024-01455-z","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

简介可预防的用药错误已被证明会对公众健康造成重大负担,而电子处方是可预防用药错误和不良反应的关键环节。信息系统和 "智能 "计算方法可为预防此类错误提供有价值的工具,并对临床实践产生深远影响:PrescIT 平台是一个临床决策支持系统(CDSS),旨在促进希腊电子处方阶段药物不良反应(ADR)和药物相互作用(DDI)的预防。所提议的平台可以相对容易地本地化,以便在其他情况下使用:PrescIT 平台基于知识工程 (ΚΕ)方法的使用,即使用本体论和知识图谱 (KG) 开发公开可用的数据源。开放标准(即 RDF、OWL、SPARQL)被用于开发平台,使其能够与现有 IT 系统集成或独立使用。主要的 KG 基于 DrugBank、MedDRA、SemMedDB 和 OpenPVSignal 的使用。此外,还使用了业务流程管理符号(BPMN)对电子处方过程中使用的长期治疗方案进行建模。最后,18 名临床专业人员通过面对面的 "高声思考 "环节,在三家医院对所开发的软件进行了试点测试:结果:PrescIT 平台已成功地以透明的方式集成到医院信息系统(HIS)中,并作为独立的应用程序使用。此外,该平台还与希腊国家电子处方系统成功整合。在试点阶段,一个精神病治疗方案被用作收集最终用户反馈意见的试验平台。在总结最终用户的反馈意见时,他们普遍认可该系统的实用性,同时也指出了在可用性和整体用户体验方面存在的一些挑战:PrescIT 平台已在现实环境中成功部署和试用,以评估其支持更安全处方的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions.

The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions.

Introduction: Preventable medication errors have been proven to cause significant public health burden, and ePrescription is a key part of the process where medication errors and adverse effects could be prevented. Information systems and "intelligent" computational approaches could provide a valuable tool to prevent such errors with profound impact in clinical practice.

Objectives: The PrescIT platform is a Clinical Decision Support System (CDSS) that aims to facilitate the prevention of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) in the phase of ePrescription in Greece. The proposed platform could be relatively easily localized for use in other contexts too.

Methods: The PrescIT platform is based on the use of Knowledge Engineering (ΚΕ) approaches, i.e., the use of Ontologies and Knowledge Graphs (KGs) developed upon openly available data sources. Open standards (i.e., RDF, OWL, SPARQL) are used for the development of the platform enabling the integration with already existing IT systems or for standalone use. The main KG is based on the use of DrugBank, MedDRA, SemMedDB and OpenPVSignal. In addition, the Business Process Management Notation (BPMN) has been used to model long-term therapeutic protocols used during the ePrescription process. Finally, the produced software has been pilot tested in three hospitals by 18 clinical professionals via in-person think-aloud sessions.

Results: The PrescIT platform has been successfully integrated in a transparent fashion in a proprietary Hospital Information System (HIS), and it has also been used as a standalone application. Furthermore, it has been successfully integrated with the Greek National ePrescription system. During the pilot phase, one psychiatric therapeutic protocol was used as a testbed to collect end-users' feedback. Summarizing the feedback from the end-users, they have generally acknowledged the usefulness of such a system while also identifying some challenges in terms of usability and the overall user experience.

Conclusions: The PrescIT platform has been successfully deployed and piloted in real-world environments to evaluate its ability to support safer medication prescriptions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Drug Safety
Drug Safety 医学-毒理学
CiteScore
7.60
自引率
7.10%
发文量
112
审稿时长
6-12 weeks
期刊介绍: Drug Safety is the official journal of the International Society of Pharmacovigilance. The journal includes: Overviews of contentious or emerging issues. Comprehensive narrative reviews that provide an authoritative source of information on epidemiology, clinical features, prevention and management of adverse effects of individual drugs and drug classes. In-depth benefit-risk assessment of adverse effect and efficacy data for a drug in a defined therapeutic area. Systematic reviews (with or without meta-analyses) that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by the PRISMA statement. Original research articles reporting the results of well-designed studies in disciplines such as pharmacoepidemiology, pharmacovigilance, pharmacology and toxicology, and pharmacogenomics. Editorials and commentaries on topical issues. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Drug Safety Drugs may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信