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

RecruitingObservational study

Who can join

Ages 18 and older · All sexes

Full eligibility 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.

About the study

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.

What is being tested

Sponsor: Massachusetts General Hospital · Participants: 2,400 · Started: Jul 10, 2021

Contact the study team

Official record on ClinicalTrials.gov — NCT04824066

Locations in the U.S.

MassachusettsMassachusetts General Hospital, Boston

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.