Bernhard Pfeifer, Sabrina B Neururer, Werner O Hackl
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Each of these papers underwent at least six independent reviews, culminating in a selection meeting with the IMIA Yearbook editorial board, where the three best papers for the CIS section were chosen.</p><p><strong>Results: </strong>The query was carried out in January 2024 retrieving 4,784 unique papers from PubMed and Web of Science, spanning 1,401 journals. The top journals included \"Telemedicine Journal and e-Health\" and \"Journal of Medical Internet Research\". Publications predominantly originated from the United States and United Kingdom. Significant contributions included advancements in predictive analytics, such as scalable models for diagnosis prediction and patient readmission, integration of digital twin technology, and improvements in data interoperability and security. The analysis underscores the continued focus on leveraging electronic health record data and the importance of patient-centered technologies in CIS.</p><p><strong>Conclusions: </strong>These findings highlight the ongoing evolution and potential of CIS technologies in enhancing patient care, emphasizing the importance of integrating innovative solutions and patient-centered approaches in the field.</p>","PeriodicalId":40027,"journal":{"name":"Yearbook of medical informatics","volume":"33 1","pages":"115-122"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020641/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery.\",\"authors\":\"Bernhard Pfeifer, Sabrina B Neururer, Werner O Hackl\",\"doi\":\"10.1055/s-0044-1800730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2023 in the CIS field.</p><p><strong>Methods: </strong>The CIS section editors utilize a systematic approach to collect relevant articles and determine the best papers for the section. 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引用次数: 0
摘要
目的:在本摘要中,IMIA医学信息学年鉴临床信息系统(CIS)部分的编辑概述了最近的研究,并提出了2023年在CIS领域发表的最佳论文。方法:CIS部分编辑利用系统的方法收集相关文章并确定该部分的最佳论文。去年,他们改进了查询,加入了远程医疗的主题。经过多阶段的系统筛选过程,编辑们将最初的候选论文减少到15篇。这些论文中的每一篇都经过了至少六次独立的审查,最后在与IMIA年鉴编辑委员会举行的一次选择会议上结束,在会议上选出了CIS部分的三篇最佳论文。结果:该查询于2024年1月进行,检索了PubMed和Web of Science中的4,784篇独特论文,涵盖1,401种期刊。排名靠前的期刊包括《远程医疗杂志与电子健康》和《医学互联网研究杂志》。出版物主要来自美国和英国。重要贡献包括预测分析方面的进步,例如用于诊断预测和患者再入院的可扩展模型,数字孪生技术的集成以及数据互操作性和安全性的改进。该分析强调了继续关注利用电子健康记录数据和以患者为中心的技术在CIS中的重要性。结论:这些发现突出了CIS技术在加强患者护理方面的持续发展和潜力,强调了在该领域整合创新解决方案和以患者为中心的方法的重要性。
Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery.
Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2023 in the CIS field.
Methods: The CIS section editors utilize a systematic approach to collect relevant articles and determine the best papers for the section. Last year, they refined the query to include the topic of telemedicine. Through a multi-stage systematic selection process, the editors reduced the initial pool to 15 candidate papers. Each of these papers underwent at least six independent reviews, culminating in a selection meeting with the IMIA Yearbook editorial board, where the three best papers for the CIS section were chosen.
Results: The query was carried out in January 2024 retrieving 4,784 unique papers from PubMed and Web of Science, spanning 1,401 journals. The top journals included "Telemedicine Journal and e-Health" and "Journal of Medical Internet Research". Publications predominantly originated from the United States and United Kingdom. Significant contributions included advancements in predictive analytics, such as scalable models for diagnosis prediction and patient readmission, integration of digital twin technology, and improvements in data interoperability and security. The analysis underscores the continued focus on leveraging electronic health record data and the importance of patient-centered technologies in CIS.
Conclusions: These findings highlight the ongoing evolution and potential of CIS technologies in enhancing patient care, emphasizing the importance of integrating innovative solutions and patient-centered approaches in the field.
期刊介绍:
Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.