Entwicklung und Erprobung einer kontinuierlichen Vitaldatenübertragung und – Verarbeitung mittels lokaler 5G-Netze bei kardiovaskulären und cerebrovaskulären Risikopatienten; Verbundvorhaben "5GMedCamp"

Abstract

Connectivity for the permanent data transfer of vital data and implant parameters of the LVAD system as well as their AI-based processing form the technological background for the digital co-care of high-risk patients, both in the hospital and at home. A relevant application example is the combination of digital medicine with implantable ventricular assist systems (LVAD), which generate vital data. Continuous streaming of this data and its AI-supported analysis could detect and treat life-threatening complications at an early stage. This type of telemedically enhanced follow-up care is central to the entire treatment concept and is gaining importance in view of the organ shortage and the increasing number of LVAD patients. In order to meet the growing demands on the communication infrastructure in the healthcare sector, 5G campus networks offer a promising approach. They enable the independent operation of networks, independent of traditional network operators, and meet high security and data protection requirements. In the medical field, campus networks must ensure seamless connections both in the hospital and in the home environment. The medical and technical definition of meaningful data reduction is a central aspect of this project. 5GMedCamp is researching a 5G-based, energy-efficient communication infrastructure for medical applications that enables uninterrupted therapy approaches between hospital and home. Key goals are the integration of campus networks with public and home networks, the development of 5G-capable vital data systems and AI methods for analyzing LVAD data. Data protection and social acceptance are promoted through privacy-by-design and transparent data processing. Interoperability standards and safety for patients with implanted cardiac devices are also taken into account. Datei-Upload durch TIB