Medical Imaging Maintenance Data Anonymization

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Solution Overview

Problem

Medical device vendors face challenges in efficiently managing maintenance services for medical imaging devices, including selecting qualified Third-party Maintenance Providers (TMPs) and ensuring secure data sharing while maintaining customer data privacy, which affects the speed and effectiveness of resolving service issues.

Innovation Solution

A system that retrieves log data from medical imaging devices, generates relevant operational data, and provides a user interface for maintenance providers to order parts, while anonymizing data and selecting qualified TMPs based on their qualifications, ensuring secure access and compliance with HIPAA regulations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If log data from medical imaging devices is shared with Third-party Maintenance Providers (TMPs), then maintenance service efficiency is improved, but customer data privacy and security are compromised

Engineering Contradiction:
Improvemaintenance service efficiencyVSAvoidcustomer data privacy risk
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system extracts and separates sensitive patient information from the log data before sharing with TMPs. Only anonymized operational data is transmitted, while protected health information remains securely stored in the vendor's system, allowing maintenance efficiency to improve without compromising patient privacy

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The vendor acts as an intermediary that receives raw log data from devices, processes and anonymizes it by removing sensitive information, then provides the cleaned data to TMPs. This intermediary processing step enables data sharing while maintaining security and privacy compliance

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If multiple Third-party Maintenance Providers (TMPs) are used for maintenance services, then service coverage and expertise are improved, but selecting the qualified TMP and managing service coordination becomes more complex

Engineering Contradiction:
Improveservice coverage and expertiseVSAvoidTMP selection and coordination complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements feedback mechanisms where the vendor monitors TMP performance, validates their qualifications, and coordinates service delivery. Based on performance feedback and case complexity, the vendor dynamically assigns appropriate TMPs to specific service cases, optimizing both coverage and coordination efficiency

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The maintenance service system is segmented into distinct roles: the vendor handles data management, quality assurance, and complex case coordination, while TMPs focus on executing specific maintenance tasks. This segmentation allows multiple TMPs to be utilized without proportionally increasing overall system complexity

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If comprehensive log data is retrieved and processed, then diagnostic accuracy and root cause analysis are improved, but data processing time and computational resources increase

Engineering Contradiction:
Improvediagnostic accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary filtering and prioritization of log data based on error codes, alert levels, and predefined diagnostic criteria. By pre-identifying the most relevant data elements before detailed analysis, the system maintains high diagnostic accuracy while reducing overall processing time

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies partial processing to comprehensive log data by focusing analysis on the most critical and relevant portions first. For routine cases, only essential data elements are deeply analyzed, while less critical data receives lighter processing, optimizing the balance between diagnostic thoroughness and processing efficiency

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240404690A1Systems and methods for maintenance services
Publication Date: 2024.12.05 KONINKLIJKE PHILIPS NV
  • US20240404690A1 patent drawing
  • US20240404690A1 patent drawing
  • US20240404690A1 patent drawing

AI summary

A non-transitory computer readable medium (107, 127) stores data related to medical imaging devices (120) generated from log files (132) from the medical imaging devices; and instructions readable and executable by at least one electronic processor (101, 113) to: retrieve, based on a query received for a current service case, log data from the log files of the medical imaging device for which the current service case is to be performed including at least operational data of the medical imaging device related to the current service case to be performed; generate, from the retrieved log data, at least a subset of the operational data for the current service case to be provided to a maintenance provider; and provide, on a display device (105) of an electronic processing device (102) operable by the maintenance provider, a user interface (UI) (140) displaying information about the current service case.