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| Name | Class |
|---|---|
| Snap40 Ltd. | UNKNOWN |
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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.
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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Snap40 Monitor | Active Comparator | Patients randomly assigned to wear the Snap40 monitor will wear the device for 48 hours following discharge from the hospital. |
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| No Monitor | Placebo Comparator | Patients randomly assigned to not wear the Snap40 monitor will continue with their follow-up surgical care in the ordinary fashion. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Snap40 Monitor | Device | Non-invasive, wearable armband device used to measure change in systolic blood pressure, respiratory rate, heart rate, body temperature, movement, and oxyhemoglobin saturation and streams this information to a cloud-based storage system. Patients will complete a questionnaire. |
| Measure | Description | Time Frame |
|---|---|---|
| Physician satisfaction in the use of remote monitoring technology. | Physician satisfaction survey measure the utility and benefit to the use of remote monitoring technology in patients being discharged following cardiac surgery at Mayo Clinic in Rochester, MN. | 48 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Patient satisfaction in the use of remote monitoring technology. | Patient satisfaction survey measures the utility and benefit to the use of remote monitoring technology in patients being discharged following cardiac surgery at Mayo Clinic in Rochester, MN. | 48 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Algorithms useful in prediction of readmission following cardiac surgery | Measure data collected via machine learning algorithms to predict readmission following cardiac surgery in patients. | 48 hours |
Target accrual: 100 patients
Subject population (children, adults, groups): adults undergoing coronary bypass surgery at Mayo Clinic in Rochester, MN
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Jordan D Miller | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic in Rochester | Rochester | Minnesota | 55905 | United States |
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| Label | URL |
|---|---|
| Mayo Clinic Clinical Trials | View source |
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| No Monitor | Other | Patients will be discharged in the ordinary manner, without the Snap40 monitor. Patients will complete a questionnaire. |
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