Table 5 Technical requirements priority ranking based on house of quality analysis.

From: Adapting quality function deployment to translate patient feedback into prioritized technical requirements for healthcare artificial intelligence

Rank

Technical requirement

Priority score

Category

Strategic focus

1

Granular categorization

191.58

Critical

Detailed patient feedback classification

2

Sentiment analysis precision

168.89

Critical

Emotional context understanding

3

LLM coding accuracy

157.13

Critical

Core AI reliability

4

Human-AI agreement reliability

150.46

High

Validation and quality assurance

5

Data processing efficiency

131.28

High

Operational performance

6

Real-time feedback processing

117.61

Moderate

Timely response capability

7

Factor analysis validity

106.01

Moderate

Statistical robustness

8

Fake review detection

39.21

Low

Data authenticity

  1. Priority Categories: Critical (> 150): Immediate investment required—highest impact on customer satisfaction. High (130–150): Important for system reliability and operational excellence. Moderate (100–130): Valuable enhancements for competitive advantage. Low (< 100): Specialized functions with limited but important applications.
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