Eymann Torsten, Fürstenau Daniel, Gersch Martin, Kauffmann Anna Lina, Neubauer Maria, Schick Doreen, Schlömer Nina, Schulte-Althoff Matthias, Stark Jeannette, von Welczeck Laura
Lehrstuhl für Wirtschaftsinformatik, Universität Bayreuth, Institutsteil Wirtschaftsinformatik des Fraunhofer FIT, Wittelsbacherring 10, 95444, Bayreuth, Deutschland.
Department of Business IT, IT University of Copenhagen, Kopenhagen, Dänemark.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2023 Feb;66(2):136-142. doi: 10.1007/s00103-022-03643-7. Epub 2023 Jan 11.
The COVID 19 crisis has highlighted the key role of the public health service (PHS), with its approximately 375 municipal health offices involved in the pandemic response. Here, in addition to a lack of human resources, the insufficient digital maturity of many public health departments posed a hurdle to effective and scalable infection reporting and contact tracing. In this article, we present the maturity model (MM) for the digitization of health offices, the development of which took place between January 2021 and February 2022 and was funded by the German Federal Ministry of Health. It has been applied since the beginning of 2022 with the aim of strengthening the digitization of the PHS. The MM aims to guide public health departments step by step to increase their digital maturity to be prepared for future challenges. The MM was developed and evaluated based on qualitative interviews with employees of public health departments and other experts in the public health sector as well as in workshops and with a quantitative survey. The MM allows the measurement of digital maturity in eight dimensions, each of which is subdivided into two to five subdimensions. Within the subdimensions a classification is made on five different maturity levels. Currently, in addition to recording the digital maturity of individual health departments, the MM also serves as a management tool for planning digitization projects. The aim is to use the MM as a basis for promoting targeted communication between the health departments to exchange best practices for the different dimensions.
新冠疫情危机凸显了公共卫生服务（PHS）的关键作用，约375个市政卫生办公室参与了疫情应对工作。在此，除了人力资源短缺外，许多公共卫生部门数字化成熟度不足也给有效且可扩展的感染报告和接触者追踪工作带来了障碍。在本文中，我们介绍了卫生办公室数字化成熟度模型（MM），该模型于2021年1月至2022年2月期间开发，由德国联邦卫生部资助。自2022年初以来一直在应用，旨在加强公共卫生服务的数字化。该成熟度模型旨在逐步引导公共卫生部门提高其数字成熟度，为未来挑战做好准备。该成熟度模型是在对公共卫生部门员工和公共卫生领域其他专家进行定性访谈以及在研讨会上，并通过定量调查来开发和评估的。该成熟度模型允许在八个维度上衡量数字成熟度，每个维度又细分为两到五个子维度。在子维度内，根据五个不同的成熟度级别进行分类。目前，除了记录各个卫生部门的数字成熟度外，该成熟度模型还用作规划数字化项目的管理工具。目的是将该成熟度模型作为促进卫生部门之间有针对性沟通的基础，以交流不同维度的最佳实践。
