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

NCT04824066 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2400

Last updated 2026-05-28

No results posted yet for this study

Summary

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.

Conditions

  • Recovery
  • Treatment Complication

Interventions

DEVICE

Device: Wearable Device

A Wearable Device will be placed on the wrist of the patient \~30 days prior to the patient's scheduled treatment and for up to 5 years following treatment. The device will record activity in terms of steps, sleep quality, heart rate, etc.

Sponsors & Collaborators

Principal Investigators

  • Chi-Fu Jeffrey Yang · Massachusetts General Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-07-10
Primary Completion
2029-01-01
Completion
2029-06-30

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04824066 on ClinicalTrials.gov