Integration of mobile sensors in a telemedicine hospital system: remote-monitoring in COVID-19 patients

Abstract

Aim The goal is to design and, in a next step, establish a scalable, multi-center telemonitoring platform based on existing systems for monitoring COVID-19 patients in home quarantine. In particular, the focus will be on raw data acquisition, integration of sensor data into the hospital system, structured data storage, and interoperability. Subject and methods Data necessary for monitoring, otherwise provided in various portals, will be continuously queried and integrated into the hospital system via a new interface in this proof-of-concept work. Results Based on extensive preliminary work at Klinikum rechts der Isar with a structured clinical database, we extend our system’s integration of raw data and visualization in dashboards, as well as scientific provision of data from mobile sensors for monitoring patients in home quarantine. Conclusion Based on existing integrated telemonitoring systems supporting semantic and syntactic interoperability, short-term provision of scientific databases is possible. The integration of different mobile sensors into a clinical system for remote monitoring of patients around the clock is still new and to our knowledge unique.

Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine

“…During the first 2 years of project implementation, we were able to design and finalize various scientific papers based on the interoperable database. In some cases, special study workflows or electronic case report forms (eCRFs) were also created, filled and analyzed in the structured database (13)(14)(15)(16).…”

Telehealth of cardiac devices for CVD treatment

“…An enormous amount of patient-specific clinical records preserved in electronic health record (EHR) has served as an efficient resource for data-oriented decision support systems, significantly enhancing clinical outcomes (Chen et al, 2020). There still remains a need for fast development of medical information systems that will address security, storage, and retrieval challenges in EHR (Müller et al, 2022).…”

“…An enormous amount of patient‐specific clinical records preserved in electronic health record (EHR) has served as an efficient resource for data‐oriented decision support systems, significantly enhancing clinical outcomes (Chen et al, 2020). There still remains a need for fast development of medical information systems that will address security, storage, and retrieval challenges in EHR (Müller et al, 2022). Medical information that is integral in the successful application of the telehealth approach to biomedical fields should be presented in a standardized form, while complying with all current regulations of data protection (Harst et al, 2019; Merle et al, 2020; Smith et al, 2020).…”

Remote Ultrasound Scan Procedures with Medical Robots: Towards New Perspectives between Medicine and Engineering

“…A similar approach is described in [72], but includes a force control loop to allow for different levels of compression of the patient tissue, thus improving the image clarity. The use of reliable 5G communication protocols appears to be fundamental for the solution envisaged in [73] related to a comprehensive software/hardware framework in which data related to patients are fully integrated with robotic equipment, thus remotely performing complete monitoring of infectious patients, thus reducing the need for direct contact.…”