Condition: Patient Readmission · Sponsor: Getúlio Vargas University Hospital
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 pressure trends, body composition through bioimpedance, and stress indicators. These devices are provided through a technology partnership and sponsorship from Samsung, which supports the study with advanced health technologies. This is a prospective, single-center cohort study conducted at the main tertiary hospital in the state of Amazonas. Approximately 225 to 300 adults undergoing medium- or large-scale elective surgeries will be invited to participate over a 25-month period. All participants will provide informed consent. After enrollment, the study will collect demographic information, …
This description comes directly from the study's public registry record.
Robson Luís Oliveira de Amorim, PhD · +55 92 99403-4101 · robsonamorim@ufam.edu.br
Maria Elizete de Almeida Araújo, Doctor of Health Science- DHSc · +55 92 99114-3693 · elizetemanaus@ufam.edu.br
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| Getúlio Vargas University Hospital | Manaus, Amazonas, Brazil | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07349901