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In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial

机译:寻找支持多ICU临床试验中电子患者招募的方法

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Antimycotics are substances to treat fungal infections, a frequent cause of death on intensive care units. It is of great importance to administer such drugs only to patients who actually need them, since the unnecessary application leads to the selection of multiresistent fungi, making future therapy more difficult, and represents a significant financial burden for the health care system. Within the scope of a prospective study, which analyses the premature discontinuation of the administration of unnecessary antifungal drugs, two software platforms for recruitment support were implemented and compared at the University Hospital Erlangen. Besides technical aspects, such as the necessary development time and query runtimes, their usability and user friendliness for the clinical users were compared. We found that the practical identification of patient cohorts is possible both with a full featured business intelligence application and with a low effort approach based on language constructs of the Arden Syntax. Furthermore, this pilot evaluation led to important insights related to the clinical documentation context and data quality issues. A comprehensive analysis of the clinical environment and documentation context is essential for the final decision on the tool to be used.
机译:抗炎病毒是治疗真菌感染的物质,常见的重症监护单位死亡原因。仅向实际需要它们的患者施用此类药物非常重视,因为不必要的申请导致选择多人性真菌,使未来的治疗更加困难,并且代表了医疗保健系统的重大财务负担。在一项前瞻性研究范围内,分析了对不必要的抗真菌药物的过早停药,在埃尔兰根大学医院实施并比较了两个招聘支持的软件平台。除了技术方面,例如必要的开发时间和查询运行时,他们的可用性和用户友好性进行了比较。我们发现,患者群体的实际识别是可以使用全功能的商业智能应用程序,并基于Arden语法的语言构造的努力方法。此外,该试点评估导致与临床文档背景和数据质量问题相关的重要见解。对临床环境和文件背景的全面分析对于要使用的工具的最终决定至关重要。

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