Klumpp Matthias, Hanelt André, Greve Maike, Kolbe Lutz M, Tofangchi Schahin, Böhrnsen Florian, Jakob Jens, Kaczmarek Sylvia, Börsting Ingo, Ehmke Christopher, Düsing Helena, Juhra Christian
Fraunhofer IML Dortmund, 44227 Dortmund, Germany.
Department of Business Administration, University of Göttingen, 37073 Göttingen, Germany.
Healthcare (Basel). 2022 Oct 30;10(11):2176. doi: 10.3390/healthcare10112176.
Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed and efficiency within the front end of medicine as the crucial phase before patient treatment starts. General challenges for health care project implementations and human-computer interaction (HCI) concepts in health care are derived and discussed, including the importance of specific processes together with user analysis and adaption. A derived concept for HCI includes the criteria speed, accuracy, modularity, and individuality to achieve sustainable improvements within the front end of medicine.
医疗保健中的数字应用是一个同步的研究和管理问题，其中实施经验是信息系统研究的核心领域。它还有助于应对 COVID-19 等大流行危机，因为非接触式信息流和诊断速度得到了提高。本文介绍了来自德国明斯特和哥廷根大学医学中心的三个数字应用案例研究，这些研究分别涉及急诊医学、行政管理和人工智能支持下的癌症诊断。所有案例都突出了数字化在医学前端（即患者治疗开始前的关键阶段）提高速度和效率的潜力。本文推导并讨论了医疗保健项目实施的一般挑战以及医疗保健中的人机交互 (HCI) 概念，包括特定流程以及用户分析和适应的重要性。一个推导得出的 HCI 概念包括速度、准确性、模块化和个性化标准，以在医学前端实现可持续改进。
