The Role of Wearable Devices in Predicting and Detecting Complications and Adverse Events
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorMassachusetts General Hospital
About this trial
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.
Eligibility criteria
Qualifiers
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
Disqualifiers
Individuals with mental incapacity and/or cognitive impairment that would preclude adequate understanding of, or cooperation with the study protocol.
Any pregnant participant.
Trial design
Treatments tested in this trial
- Device: Wearable Device
Treatment groups
2,400 Participants
are divided into 1 treatment groupSponsors and collaborators
Massachusetts General Hospital
Lead sponsor
Case Western Reserve University
Collaborator
Source ClinicalTrials.gov