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This study is designed to determine the perceived value of continuous remote monitoring to surgeons and surgical patients at Mayo Clinic in Rochester, MN, and determine whether algorithms can be generated to predict risk of readmission following discharge. This initial study will be conducted through the Department of Cardiovascular Surgery.
Full description
The overall aim of this project is to determine the perceived utility and benefit to use of remote monitoring technology in patients being discharged following cardiac surgery at Mayo Clinic in Rochester, MN. The investigators also aim to determine whether machine learning algorithms can predict readmission following cardiac surgery in these patients, which the investigators believe will benefit patients in future studies.
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Inclusion and exclusion criteria
Target accrual: 100 patients
Subject population (children, adults, groups): adults undergoing coronary bypass surgery at Mayo Clinic in Rochester, MN
Inclusion Criteria:
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Interventional model
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50 participants in 2 patient groups, including a placebo group
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Data sourced from clinicaltrials.gov
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