Optimizing Remote Scanning Workflow with Automated Data Extraction from Streamed Content

📋 Type MA thesis
Status running
📅 Duration Mar 15, 2025 – Sep 15, 2025
👤 Primary supervisors Mathias Seuret Andreas Maier Wichmann, Andre (andre.wichmann@siemens-healthineers.com), Siemens Healthineers
🎓 Student Dipjyoti Das MS in Health and Medical Data Analytics

Remote scanning allows medical technologists to operate scanning systems from a remote location. Scanners are connected via KVM-switches (Keyboard, Video, Mouse), as there is no other interface standard existing. However, KVM only streams video and control signals, without transmitting structured data like scan progress or warnings from the scanner. This limitation creates a significant challenge for remote operators, may miss important system events or updates, leading to potential miscommunication with onsite staff. This can result in delays in patient care and depend on the onsite team to monitor patient conditions effectively during scans.

Final Goals:
Prototype Methods to capture data from scanning console video streams in real time such as-
a) Error or Warning popup messages in different languages, from different interfaces
b) Calculate process progression from the progress bar.