Presentation
Survey-Informed Systems Framework for Robotic-Assisted Surgery Cybersecurity
DescriptionCybersecurity in healthcare is an emerging area of research, and there is a need to understand the new cybersecurity vulnerabilities that threaten patient safety, technology integrity and reliability, and organizational efficiency during procedural care. These issues are especially prevalent for robotic-assisted surgery (RAS) systems that rely on device interoperability and are exposed to unique cyber threats due to their connectivity during surgery. This work aimed to gather the perspectives of stakeholders on RAS cybersecurity and vulnerabilities. To identify these, surveys and interviews were conducted with RAS stakeholders (clinicians, hospital administrators, cybersecurity researchers and professionals). Survey results showed that ~25% of respondents knew their organization’s cybersecurity protocols, indicating limited cybersecurity awareness among RAS stakeholders. Through thematic analysis of interviews and surveys data, a framework was developed to highlight key cybersecurity vulnerabilities for RAS. This framework was grounded in the Systems Engineering Initiative for Patient Safety (SEIPS) model and identified the cybersecurity process from the existing work systems, the process taken to mitigate and recover from faults and attacks, and the subsequent organizational outcomes. Results exemplify the complexity of RAS cybersecurity and the need for a proactive approach to mitigating risks and vulnerabilities.
Event Type
Lecture
TimeThursday, October 16th3pm - 3:20pm CDT
LocationGrand E/F
Cybersecurity
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