Aulenkamp Jana L, Mosch Lina, Meyer-Frießem Christine H, Malewicz-Oeck Nathalie M
Klinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Essen, Universität Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Deutschland.
Klinik für Anästhesiologie mit Schwerpunkt operative Intensivmedizin, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Deutschland.
Schmerz. 2023 Aug;37(4):234-241. doi: 10.1007/s00482-023-00732-7. Epub 2023 Jul 10.
Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. Therefore, this article provides an overview of various digital tools and their potential application options in postoperative pain management.
An orienting literature search was carried out in the MEDLINE and Web of Science databases, and a targeted selection of essential key publications was made in order to provide a structured presentation of different current possible applications and a discussion based on the most recent knowledge.
Today, possible applications of digital tools, even if they mostly have only a model character, include pain documentation and assessment, patient self-management and education, pain prediction, decision support for medical staff, and supportive pain therapy, for example in the form of virtual reality and videos. These tools offer advantages such as individualized treatment concepts, addressing specific patient groups, reduction of pain and analgesics, and the potential for early warning or detection of postoperative pain. Furthermore, the challenges of the technical implementation and appropriate user training are highlighted.
The use of digital tools, although so far integrated in clinical routine in a relatively selective and exemplary manner, promises to be an innovative approach for personalized postoperative pain therapy in the future. Future studies and projects should help to integrate the promising research approaches into everyday clinical practice.
最近，数字工具，如基于智能手机的应用程序和人工智能的应用，越来越多地进入疼痛医学领域。这可能为术后疼痛管理带来新的治疗方法。因此，本文概述了各种数字工具及其在术后疼痛管理中的潜在应用选项。
在MEDLINE和科学网数据库中进行了定向文献检索，并针对性地选择了重要的关键出版物，以便对当前不同的可能应用进行结构化展示，并基于最新知识进行讨论。
如今，数字工具的可能应用，即使大多仅具有模型性质，包括疼痛记录与评估、患者自我管理与教育、疼痛预测、为医务人员提供决策支持以及支持性疼痛治疗，例如以虚拟现实和视频的形式。这些工具具有个性化治疗方案、针对特定患者群体、减轻疼痛和减少镇痛药使用以及早期预警或检测术后疼痛的潜力等优势。此外，还强调了技术实施和适当用户培训方面的挑战。
数字工具的使用，尽管迄今为止在临床常规中以相对选择性和示范性的方式整合，但有望成为未来个性化术后疼痛治疗的创新方法。未来的研究和项目应有助于将这些有前景的研究方法融入日常临床实践。
