AI Maintenance Assistant for Biomedical Engineers

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Solution Overview

Problem

Biomedical engineers often struggle with developing and maintaining the right technical knowledge to perform maintenance on new medical devices, leading to inefficiencies and increased downtime for hospitals, as well as an unnecessary workload for vendors.

Innovation Solution

A maintenance assistance system that utilizes a database of resolved historical service cases and service manuals to determine the required skills for a given maintenance task, compares these skills with the service record of the biomedical engineer, and outputs customized guidance to bridge skill gaps, either by providing additional explanations or recommending a third-party service call.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If biomedical engineers are expected to handle all maintenance tasks independently, then vendor workload is reduced, but engineer skill gaps lead to increased downtime and failed repairs

Engineering Contradiction:

Improvemaintenance efficiencyVSAvoidrepair success rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system introduces an AI assistant as an intermediary between biomedical engineers and vendor expertise. The assistant analyzes maintenance cases, identifies skill gaps, and provides targeted guidance or recommends vendor involvement, serving as a bridge that enhances engineer capabilities without requiring direct vendor participation for every case.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables biomedical engineers to self-assess their capabilities against maintenance requirements and receive automated guidance for tasks within their skill level. This self-service approach allows engineers to independently handle appropriate cases while the system automatically identifies when vendor expertise is needed.

Inventive Principle:

Principle #25Self-service

2Reliability

If vendors handle all maintenance cases, then repair quality is ensured, but hospital downtime increases and costs rise

Engineering Contradiction:

Improvemaintenance qualityVSAvoiddevice downtime

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system applies local quality by providing customized, case-specific guidance tailored to each maintenance situation and engineer's skill level. Rather than uniform vendor handling or generic engineer training, the system delivers targeted information exactly where needed - to the right engineer for the right task with the right level of support.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary assessment of maintenance cases against engineer skill profiles before vendor involvement is considered. By pre-evaluating whether an engineer can handle a case with available guidance, the system avoids unnecessary vendor dispatches and reduces downtime while maintaining quality standards.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If comprehensive training is provided to all biomedical engineers, then skill levels improve, but training time and costs increase

Engineering Contradiction:

Improveengineer competencyVSAvoidtraining duration

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system applies partial action by providing targeted skill development only where gaps exist, rather than comprehensive training for all engineers. The AI assistant identifies specific skill deficiencies and delivers focused guidance for those particular areas, reducing overall training time while improving relevant competencies.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically adapts training and guidance based on each engineer's demonstrated skills, experience level, and specific maintenance needs. Rather than static comprehensive training programs, the system adjusts the level and type of support provided in real-time based on assessed competency and case complexity.

Inventive Principle:

Principle #15Dynamics

4Adaptability or versatility

If decentralized maintenance records are maintained separately in CMMS and vendor systems, then data ownership is preserved, but knowledge sharing and skill assessment are hindered

Engineering Contradiction:

Improvedata ownership flexibilityVSAvoidknowledge accessibility

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system serves multiple functions by operating across decentralized data sources without requiring centralized consolidation. It can access maintenance records, skill profiles, and case data from various systems while preserving their independence, using this distributed information to provide comprehensive engineer assessment and guidance.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250174341A1Systems and methods for generating customized maintenance instructions for biomedical engineers

Publication Date: 2025.05.29 KONINKLIJKE PHILIPS NV

AI summary

A non-transitory computer readable medium (26) stores a database (30) storing a plurality of resolved historical service cases and service manuals (32) for a plurality of medical devices (12). Instructions executable by at least one electronic processor (20) to perform a maintenance assistance method (100) include receiving information describing servicing to be performed on a medical device (12); determining one or more skills related to performing the servicing by comparing the received information with one or more of the historical service cases and/or service manuals; identifying a skill gap of a person who is to perform the servicing by comparing the determined one or more skills with a service record of the person; and outputting guidance (38) for performing the servicing wherein the guidance is based on the identified skill gap.