ALgorithms Adapted From Remote Monitoring
Stopped early
Conditions studied: Surgery
In brief
Through the aid of remote monitoring and early symptom detection, a patient's response to stress and normalization to their individual baseline can better contribute towards algorithms which are predictive of clinical decline.
Key facts
- Study ID
- NCT05782140
- Run by
- Mayo Clinic
- People needed
- 56
- Starts
- 2023-02-20
- Expected to finish
- 2025-02-25
- Last updated by the study team
- 2026-02-24
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 18 years and older
- Scheduled to undergo surgery resulting in a complex recovery as evaluated by the treating Department of Surgery surgeon. This includes but is not limited to the following inpatient elective surgery procedures: esophagectomy, pancreatectomy, major liver resections, open vascular surgery, lower extremity bypass, colectomy, and complex pulmonary resections (lobes and above).
- Subjects are committed to daily exercise as outlined in the protocol.
You may not qualify if…
- <18 years of age
- Subject is pregnant
- Subject is dismissed from the hospital to a nursing home or long term care facility.
- Subject cannot commitment to daily exercise as outlined in the protocol.
- Subjects enrolled in another device or drug study does not necessarily preclude them from participating in this study. Please check with the PI for inclusion if the subject is on another device or drug study.
Where it is running
- Mayo Clinic in Rochester — Rochester, Minnesota, United States
Full record on ClinicalTrials.gov
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