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This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (709) Wearable Devices and Sensors (1216) Telehealth and Telemonitoring (2212) Postoperative Monitoring and Telemonitoring (211) Quality Improvement (310) Safety and Error Prevention in Health (259)

Published on in Vol 14 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81558, first published .
Wearable Continuous Vital Sign Monitoring Study (WARD-AMS) to Detect Clinical Deterioration in Postoperative General Surgery Patients: Protocol for a Randomized Controlled Trial

Wearable Continuous Vital Sign Monitoring Study (WARD-AMS) to Detect Clinical Deterioration in Postoperative General Surgery Patients: Protocol for a Randomized Controlled Trial

Wearable Continuous Vital Sign Monitoring Study (WARD-AMS) to Detect Clinical Deterioration in Postoperative General Surgery Patients: Protocol for a Randomized Controlled Trial

Authors of this article:

Jasjit Syan1, 2 Author Orcid Image ;   Meera Joshi3 Author Orcid Image ;   John Beard4 Author Orcid Image ;   Jonah Attebery4 Author Orcid Image ;   Fu Siong Ng1, 2 Author Orcid Image ;   Sadia Khan1, 2 Author Orcid Image
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Journals

  1. Kubota K, Kubota A. AI-Driven and Algorithm-Supported Decision Support Using Continuous, Remote, and Self-Monitoring Patient Data for Early Deterioration Detection and Escalation: A Scoping Review. Applied Sciences 2026;16(7):3131 View