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Source note3 min read

AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring

Source

arXiv

arxiv.org/abs/2606.23631v1

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Source

Plain-Language Brief

Researchers developed QoR-compact, a shorter version of the Quality of Recovery (QoR) survey, to be used for daily remote patient monitoring. The new version consists of five questions and was found to predict postoperative recovery severity with a similar accuracy as the full 15-item QoR survey.

What the Document Says

  • The research focuses on remote patient monitoring and the use of the Quality of Recovery (QoR) survey for subjective recovery dimensions.
  • QoR-compact is a new five-item version of the QoR survey, developed for daily input in RPM prediction pathways.
  • The study aimed to evaluate if QoR-compact matches the full instrument in predicting postoperative recovery severity.
  • QoR-compact achieved a mean AUC-ROC of 0.968, which is statistically comparable to the baseline obtained with one-third of the items from the full QoR survey.
  • Patient-level backtesting indicates that QoR-compact tracks readmission events as faithfully as the full form.
  • The five items in QoR-compact cover physical and psychological aspects 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 full QoR survey remains the gold-standard measure of recovery, while QoR-compact serves as a shorter daily input designed for prediction.
  • The parity between QoR-compact and the full QoR survey provides the basis for a future study on whether a lighter daily input leads to more consistent completion.
  • External validation on larger cohorts is needed before clinical use.

Key Concepts Mentioned

  • Remote Patient Monitoring
  • Quality of Recovery (QoR) survey
  • QoR-compact
  • AUC-ROC
  • readmission events
  • physical and psychological axes of recovery

Claims Made by the Document

  • QoR-compact matches the full QoR instrument in predicting postoperative recovery severity.
  • A lighter daily input may lead to more consistent completion.

Evidence Used

  • mean AUC-ROC of 0.968 for QoR-compact
  • patient-level backtesting results

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

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.