A data-driven 5-item subset (Q3, Q9, Q10, Q12, Q14) of QoR-15 achieves mean AUC-ROC 0.968 for predicting recovery severity, statistically comparable to the full form on one-third of items, with similar readmission tracking.
Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysis
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AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
A data-driven 5-item subset (Q3, Q9, Q10, Q12, Q14) of QoR-15 achieves mean AUC-ROC 0.968 for predicting recovery severity, statistically comparable to the full form on one-third of items, with similar readmission tracking.