AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
2026-06-22 • Artificial Intelligence
Artificial Intelligence
AI summaryⓘ
The authors looked at ways to make the Quality of Recovery (QoR-15) survey shorter for daily use in remote patient monitoring after surgery. They created a new version called QoR-compact with only five questions, which still predicts patients’ recovery well, similar to using the full survey. This shorter survey covers both physical and mental health aspects and could help patients complete daily check-ins more easily. However, the authors say more testing with larger groups is needed before doctors can use it widely.
Remote Patient MonitoringQuality of Recovery (QoR-15)Postoperative RecoverySurvey ValidationAUC-ROCPatient-Reported OutcomesPrediction ModelPhysical RecoveryPsychological RecoveryReadmission Tracking
Authors
Yansong Liu, Li-Hsi, Lin, Pramit Khetrapal, Ronnie Stafford, John Kelly, Ivana Drobnjak
Abstract
Remote patient monitoring depends on patient-reported data to capture the subjective dimension of recovery that devices cannot measure. The Quality of Recovery (QoR-15) survey is the gold-standard instrument for this purpose. It was designed and validated for occasional in-hospital assessment, yet remote monitoring now administers it to patients daily. In our own post-surgical deployment, only 55% of patients submitted the survey more than 14 days of 30 monitoring days. We developed QoR-compact, a five-item daily input for the RPM prediction pathway. Setting a deployment-driven target of one-third of the daily items, we exhaustively evaluated all 3,003 five-question subsets of the QoR-15 and tested whether the best of them matches the full instrument in predicting near-term postoperative recovery severity. QoR-compact achieves a mean AUC-ROC of 0.968 (95% CI 0.915-0.988), statistically comparable to the 0.964 baseline obtained with one-third of the items. Patient-level backtesting indicates that it tracks readmission events as faithfully as the full form. Its five items span the physical and psychological axes of recovery: Q3 (feeling rested), Q9 (feeling comfortable and in control), Q10 (general well-being), Q12 (severe pain), and Q14 (feeling worried or anxious). The QoR-15 remains the gold-standard measure of recovery; QoR-compact complements it as a shorter daily input designed for prediction. This parity provides the basis for a prospective study of whether a lighter daily input is, in turn, completed more consistently. External validation on larger cohorts is required before clinical use.