The Role of Wearable Devices in Predicting and Detecting Complications and Adverse Events
Sponsor: Massachusetts General Hospital
Trial Details
| Condition | Recovery, Treatment Complication |
| Intervention | Device: Wearable Device |
| Status | Recruiting |
| Participants | 2,400 |
| Est. Completion | 1 Jan 2029 |
| Last Updated | 28 May 2026 |
Primary Outcome
Early detection of complications and adverse events using machine learning analysis of patient biometric data.; Prediction of the quality of recovery after treatment using patient biometric data.
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: 1. Age 18 years or older 2. Individuals scheduled to undergo one of the following surgical or non-surgical treatments: cardiothoracic surgery, orthopedic surgery, vascular surgery, colorectal surgery, pancreatic surgery, other major abdominal surgeries, treatment for chronic disease, or systemic therapy (i.e., chemotherapy, immunotherapy, or targeted therapy), radiotherapy, or ablation. 3. Amenable to using one of the wearable devices of interest (Fitbit, iWatch, Biostrap). 4. Individuals willing to provide informed consent and who have capacity for all study procedures Exclusion Criteria: 1. Individuals with mental incapacity and/or cognitive impairment that would preclude adequate understanding of, or cooperation with the study protocol. 2. Any pregnant participant.
Trial Sites
Countries
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