Zbinden Chantal, Strickler Moritz, Sariyar Murat, Bürkle Thomas, Seidel Kathleen
Bern University of Applied Sciences, Bern, Switzerland.
Department of Neurosurgery, Inselspital, University Hospital, Bern, Switzerland.
Stud Health Technol Inform. 2021 May 24;278:211-216. doi: 10.3233/SHTI210071.
Intraoperative neurophysiological monitoring (IOM) enables a function-preserving surgical strategy for surgeries of brain or spinal cord pathologies by neurophysiological measurements. However, the IOM data management at neurosurgical institutions are often either not digitized or inefficient in terms of collecting, storing and processing of IOM data. Here, we describe the development of a web application, called IOM-Manager, as a first step towards the complete digitization of the IOM workflow. The web application is used for structured protocoling based on standardized protocol entry catalog, data archiving, and data analysis. These functionalities are based on the results of the requirement engineering of a process analysis, a survey with potential users and a market analysis. A usability test with one IOM team indicated the IOM-Manager and its other components can in fact solve many problems of existing solutions.
术中神经生理监测（IOM）通过神经生理测量，为脑或脊髓病变手术提供了一种保留功能的手术策略。然而，神经外科机构的IOM数据管理在IOM数据的收集、存储和处理方面往往要么未数字化，要么效率低下。在此，我们描述了一个名为IOM-Manager的网络应用程序的开发，作为迈向IOM工作流程完全数字化的第一步。该网络应用程序用于基于标准化协议条目目录的结构化记录、数据存档和数据分析。这些功能基于过程分析的需求工程结果、对潜在用户的调查以及市场分析。对一个IOM团队进行的可用性测试表明，IOM-Manager及其其他组件实际上可以解决现有解决方案的许多问题。
