This study examines at-home monitoring of patient-generated phsyiologic health data and patient-reported outcomes. Patient-generated health data using at-home monitoring devices and smart device applications are used more and more to measure value and quality in cancer care. This trial may show whether at-home monitoring programs can improve the care of patients after hospital discharge from surgery.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Overall accrual
Timeframe: Days 2
Overall accrual
Timeframe: Days 7
Overall accrual
Timeframe: Days 14
Overall accrual
Timeframe: Days 30 after discharge
Retention
Timeframe: Days 2
Retention
Timeframe: Days 7
Retention
Timeframe: Days 14
Retention
Timeframe: Days 30 after discharge
Attrition rates
Timeframe: Days 2
Attrition rates
Timeframe: Days 7
Attrition rates
Timeframe: Days 14
Attrition rates
Timeframe: Days 30 after discharge
Patient's ability to use the remote perioperative monitoring equipment
Timeframe: Up to 30 days
Staff ability to identify threshold healthcare parameters
Timeframe: Up to 30 days
Staff ability to act on identified threshold healthcare parameters
Timeframe: Up to 30 days