The Role of Wearable Devices in Predicting and Detecting Complications and Adverse Events

Recruiting now

Conditions studied: Recovery, Treatment Complication

In brief

The overarching goal of this research is to use machine learning analysis of high-resolution data-collected by wearable technology-to predict complications and poor recovery in patients undergoing treatment for benign or malignant conditions.

Key facts

Study ID

NCT04824066

Run by

Massachusetts General Hospital

People needed

2400

Starts

2021-07-10

Expected to finish

2029-06-30

Last updated by the study team

2026-05-28

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 18 years or older
• 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.
• Amenable to using one of the wearable devices of interest (Fitbit, iWatch, Biostrap).
• Individuals willing to provide informed consent and who have capacity for all study procedures

You may not qualify if…

• Individuals with mental incapacity and/or cognitive impairment that would preclude adequate understanding of, or cooperation with the study protocol.
• Any pregnant participant.

Where it is running

• Massachusetts General Hospital — Boston, Massachusetts, United States (enrolling)

Full record on ClinicalTrials.gov

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