Workflow‑Aware Cybersecurity for Preventing Repeat Imaging in Medical Radiology

DOI

10.2991/978-94-6239-610-4_38How to use a DOI?

Keywords

Medical imaging; Radiology workflows; Repeat imaging reduction; Failure Mode and Effects Analysis (FMEA); Risk Priority Number (RPN); Security Operations Centre (SOC) automation; Continuous monitoring; Cybersecurity Framework; PACS and Radiology Information Systems (RIS)

Abstract

Medical imaging workflows vary widely across regions and hospital systems, shaped by infrastructure maturity, pace of digital transformation, and the extent of cloud and AI integration. Hospitals face substantial barriers when trying to transition to integrated operational and security workflows for imaging, including high upfront costs, legacy system incompatibilities, data privacy and cybersecurity concerns, staff resistance, limited trust in AI performance, and complex regulatory requirements, as highlighted in recent healthcare and radiology market and policy analyses. Existing Picture Archiving and Communication Systems (PACS) security guidelines focus on technical controls and general risk reduction for medical imaging archives, but they do not explicitly link security events to measurable radiology workflow outcomes such as repeat imaging rates, turnaround time, or scanner utilisation. At present, to the authors’ knowledge, no cybersecurity architecture has been designed and evaluated with “repeat imaging rate” as a primary clinical performance metric across both AI-enabled and legacy imaging systems. This study addresses that gap through two main contributions: (1) a FMEA/RPN-based cybersecurity architecture that links imaging-system events (PACS logs, scanner status, AI inference logs) directly to measurable repeat imaging frequency via standardized repeat-scan failure modes (FM1–FM4) and RPN-weighted SOC playbooks; and (2) a laboratory evaluation across legacy, cloud, AI-augmented workflows that targets, in simulation, a 30% reduction in repeat imaging and 95% detection of simulated attacks. The proposed system architecture integrates established NIST controls and FMEA best practices into a workflow-aware FMEA/RPN-to-SOC pipeline aimed at minimising avoidable repeat imaging.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aswini Manickam
AU  - Sangam Kumar Chaturvedi
AU  - Ch. A. S. Murty
PY  - 2026
DA  - 2026/05/05
TI  - Workflow‑Aware Cybersecurity for Preventing Repeat Imaging in Medical Radiology
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 439
EP  - 452
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_38
DO  - 10.2991/978-94-6239-610-4_38
ID  - Manickam2026
ER  -