Cloud System Reattaches Patient Faces to Brain Imaging Data
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Solution Overview
Problem
Medical imaging data transmitted for brain navigation systems often has personal health information (PHI), including patient faces, removed to ensure compliance, making it difficult for clinicians to identify patients, necessitating the reattachment of PHI and faces before clinical use.
Innovation Solution
A cloud computing system processes brain imaging data by retrieving anonymous metadata and face data, reattaching the face in temporary storage to generate metadata with anonymous identifiers, ensuring secure transmission and reattachment of PHI to the brain navigation system within the hospital IT infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If PHI including patient face is removed from medical imaging data to ensure compliance with privacy regulations, then patient privacy is protected, but clinician ability to identify patients is impaired
Solution Approach 1:
The system segments the medical imaging data processing into distinct phases: initial PHI removal for cloud transmission, then selective PHI reattachment at the hospital gap server. This segmentation allows privacy protection during transmission while restoring identification capability for clinical use.
Solution Approach 2:
The gap server acts as an intermediary component within the hospital IT infrastructure that receives anonymous imaging data from the cloud and reattaches PHI before forwarding to clinical systems. This intermediary resolves the contradiction by being the controlled point where PHI is restored under hospital security oversight.
2Ease of operation
If face data is reattached to medical imaging data in cloud temporary storage, then patient identification is enabled, but risk of data interception increases
Solution Approach 1:
The system performs preliminary face reattachment in the cloud before transmission to the gap server, but immediately transfers the data with restricted access. This preliminary action enables identification capability while the subsequent rapid transfer to the hospital-controlled gap server minimizes exposure time to interception risks.
Solution Approach 2:
The face reattachment process in cloud temporary storage is designed to complete rapidly and then immediately transfer data to the gap server. By rushing through the vulnerable phase quickly, the system minimizes the time window for potential interception while still achieving the identification benefit.
3Reliability
If PHI reattachment is performed outside the cloud computing system at a gap server, then data security is improved, but system complexity increases
Solution Approach 1:
The gap server serves as a dedicated intermediary component that handles PHI reattachment operations. While this adds a system component, it centralizes security-critical functions in a controlled hospital environment, improving reliability by keeping PHI within the hospital IT infrastructure rather than in external cloud systems.
4Object-affected harmful factors
If anonymous identifiers are used in metadata, then patient privacy is protected, but data traceability is reduced
Solution Approach 1:
The metadata system is segmented into anonymous identifiers for cloud processing and PHI-containing identifiers for hospital systems. This segmentation allows traceability to be maintained within the hospital infrastructure through the gap server while protecting privacy during cloud transmission and processing.
Data Source
AI summary
A cloud computing system is described that communicates with a virtual machine to reattach the face of a patient to brain imaging data before the brain imaging data is transmitted for display on a brain navigation system.