Student Conference Proceedings
Vol. 1 No. 1 (2025): Stud Conf Proc
https://doi.org/10.18416/SCP.2025.1994
Implementation and Evaluation of a Prototypical Service for the Processing and Provision of Clinical Trend Data in a Distributed System
Main Article Content
Copyright (c) 2025 Isticahayanittamiarzahraa Isticahayanittamiarzahraa, Raika Rauterberg, Johannes Kollien, Max Urban

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
The ISO/IEEE 11073-SDC standard defines architecture and protocol on interoperability between manufacturer-independent medical devices. In this paper, a prototype implemented this standard to process clinical trend data using Apache Kafka for data storage and GraphQL for its interface. The proposed prototype demonstrated real-time and historical data connected to 100 simulated devices. In the evaluation, the processing time of trend during high-load setting has occasional outliers, however its median is relatively low. A single historical trend query with varied payload and real-time subscriptions were effectively executed, meanwhile simultaneous queries from multiple devices caused high latency due to resource contention.