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Source note2 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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Plain-Language Brief

Researchers developed a shorter version of the Quality of Recovery (QoR) survey for remote patient monitoring, called QoR-compact. The new five-item questionnaire has similar accuracy in predicting postoperative recovery severity as the original 15-item QoR survey, and it might be completed more consistently by patients.

What the Document Says

  • QoR-compact is a shorter version of the Quality of Recovery (QoR) survey designed for remote patient monitoring with five questions.
  • The researchers aimed to find a five-question subset of QoR-15 that matches the full instrument in predicting postoperative recovery severity.
  • QoR-compact achieved a mean AUC-ROC of 0.968 (95% CI 0.915-0.988), which is statistically comparable to the baseline obtained with one-third of the QoR-15 items.
  • Patient-level backtesting indicates that QoR-compact tracks readmission events as faithfully as the full form.
  • The five items in QoR-compact cover both 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 original QoR-15 remains the gold standard measure of recovery, but QoR-compact is a shorter daily input designed for prediction.
  • The study suggests that using a lighter daily input might be completed more consistently.

Key Concepts Mentioned

  • QoR
  • Quality of Recovery-15 (QoR-15)
  • QoR-compact
  • Remote Patient Monitoring (RPM)
  • Recovery severity
  • AUC-ROC
  • readmission events

Claims Made by the Document

  • QoR-compact has similar accuracy in predicting postoperative recovery severity as the QoR-15.
  • Using a lighter daily input might be completed more consistently.

Evidence Used

  • mean AUC-ROC of 0.968 (95% CI 0.915-0.988) 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.

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