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New AI-driven survey optimizes remote patient monitoring recovery tracking

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new, shorter version of the Quality of Recovery (QoR-15) survey, named QoR-compact, designed for daily use in remote patient monitoring. This five-item survey aims to predict postoperative recovery severity and has demonstrated comparable accuracy to the full QoR-15 instrument in preliminary testing. The QoR-compact survey spans physical and psychological aspects of recovery and shows promise for improving patient engagement and tracking readmission events more effectively in remote monitoring settings. AI

IMPACT This research could lead to more consistent and accurate patient recovery tracking in remote monitoring, potentially improving patient outcomes and reducing readmissions.

RANK_REASON Academic paper detailing a new AI-driven methodology and survey instrument. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AI-driven survey optimizes remote patient monitoring recovery tracking

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ivana Drobnjak ·

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

    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-hospit…

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