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Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data

Recruitingn/aAges 18 Years - anyAllGetúlio Vargas University Hospital
NCT07349901 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

Hospital readmissions are an important measure of healthcare quality and safety. These events create a substantial burden for patients, families, and health systems because they may increase costs, extend recovery time, and lead to more serious postoperative complications. Predicting which patients are at higher risk of readmission remains difficult, as many complications begin silently and are not easily identified in routine clinical evaluations. This study aims to evaluate whether artificial intelligence (AI) can help predict hospital readmissions in surgical patients by analyzing physiological and behavioral data collected before and after surgery. To achieve this, participants will use wearable devices-specifically a smartwatch and a smart ring-capable of continuously monitoring health biomarkers such as heart rate, electrocardiogram (ECG), oxygen saturation, sleep patterns, blood

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📋 Eligibility rules (as published)
Inclusion Criteria: * Adults over 18 years of age; * Hospitalization for medium and/or large elective surgery at HUGV; * Conscious and oriented patients who have sufficient understanding to answer questionnaires and use wearable devices for the study; * Have minimal skills in the use of wearable technologies; * Patients who have agreed to participate voluntarily in the research by signing the Informed Consent Form (ICF). Non-inclusion Criteria: * Presence of tattoos or any other skin condition (skin pathologies or skin diseases such as vitiligo, lupus, and atopic dermatitis, among others) that affects the area of the wrist or finger where the wearable sensors are located; * Presence of any type of sensitivity or allergic reaction, of any degree, to the materials of the wearables (smartwatch and smartring); * Pregnant and lactating women; * Participants with implantable cardiac devices, such as pacemakers, cardioverter defibrillators, and resynchronization devices; * Participants in drugs abuse; Exclusion Criteria: * Severe medical conditions and decompensations prior to surgery; * Patients who die before hospital discharge; * Patients with an expected postoperative hospital stay of more than 10 days.
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What it tests

  • Not listed
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Where

1 site
Getúlio Vargas University Hospital
Manaus, Brazil
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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