Examination Allocation System for Radiologist Workload Diversity

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Solution Overview

Problem

High staff turnover and burnout among medical imaging professionals due to high workloads, technical difficulty, and boredom from repetitive tasks, leading to overspecialization and underdevelopment in other modalities.

Innovation Solution

A system that tracks and calculates diversity and efficiency metrics for medical professionals, using these to allocate medical examinations across different modalities, incorporating real-time reinforcement learning to balance expertise development and workload distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If medical professionals are assigned repetitive examinations in the same modality to maintain efficiency, then productivity increases, but staff burnout and turnover increase due to boredom

Engineering Contradiction:

Improveexamination throughputVSAvoidstaff retention

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The examination allocation system dynamically adjusts modality assignments based on real-time metrics including diversity scores, efficiency ratings, and staff preferences. The system transitions from static, fixed assignments to dynamic, adaptive allocation that responds to changing staff needs and performance patterns, preventing burnout while maintaining productivity

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameters of examination allocation by introducing diversity metrics as a key assignment criterion alongside traditional efficiency metrics. This multi-parameter approach allows the system to balance productivity requirements with staff well-being by varying modality assignments based on calculated diversity scores and efficiency ratings

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If medical professionals specialize in one modality to maintain high efficiency, then examination quality improves, but cross-modality expertise deteriorates

Engineering Contradiction:

Improveexamination reading qualityVSAvoidcross-modality expertise

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system dynamically balances specialization and versatility by adjusting modality assignments based on current expertise levels and diversity needs. Professionals receive concentrated assignments in their specialty areas to maintain quality while periodically receiving cross-modality assignments to develop versatility, with the balance shifting based on real-time metrics

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system applies different assignment strategies to different professionals based on their individual expertise profiles. Each professional receives a customized allocation that preserves their specialty strengths while targeted cross-training opportunities are provided to develop additional modalities, creating local optimization for each staff member

Inventive Principle:

Principle #3Local quality

3Reliability

If diverse examinations are distributed to prevent boredom, then staff satisfaction improves, but efficiency may decrease due to learning curves in new modalities

Engineering Contradiction:

Improvestaff satisfactionVSAvoidexamination completion efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements partial diversity by assigning cross-modality examinations in controlled proportions rather than uniformly. Professionals receive mostly their specialty examinations to maintain efficiency while incorporating a calculated portion of diverse modalities to prevent boredom, optimizing the balance between satisfaction and productivity

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system uses real-time feedback loops where diversity metrics and efficiency metrics are continuously monitored and fed back into the allocation algorithm. This allows the system to adjust diversity levels dynamically, increasing cross-modality assignments when efficiency is high and maintaining specialty focus when learning curves impact productivity

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20230178227A1System and method for measuring and optimizing technologist and/or radiologist cross-modality performance in imaging acquisition and reading workflows

Publication Date: 2023.06.08 KONINKLIJKE PHILIPS NV

AI summary

A non-transitory computer readable medium (26, 30) stores instructions executable by at least one electronic processor (20, 34) to perform a method (100) of distributing medical examinations to medical professionals. The method includes tracking examinations performed or reviewed by a plurality of medical professionals; calculating one or more metrics (38, 40) for each medical professional of the plurality of medical professionals based on the tracked examinations, the one or more metrics including a diversity metric indicative of a diversity of different types of examinations performed or reviewed by the medical professional; and allocating upcoming examinations among the medical professionals of the plurality of medical professionals based at least in part on the one or more metrics calculated for the medical professionals of the plurality of medical professionals.