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

Part of paid clinical trials in Boston, Massachusetts.

Sponsor
Massachusetts General Hospital
Study ID
NCT04824066
Status
Recruiting
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Conditions

  • Recovery
  • Treatment Complication

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Device: Wearable Device — 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.

Study Details

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 Dates

Start date
Jul 10, 2021
Status verified
May 2026
Primary completion
Jan 1, 2029
Completion
Jun 30, 2029

Study Design

Enrollment
2,400 participants (estimated)

Arms

  • Arm: Treatment Group
    Adults patients who are scheduled to undergo treatment for a benign or malignant condition and meet the inclusion and exclusion criteria.

Primary Outcome Measure

Early detection of complications and adverse events using machine learning analysis of patient biometric data. [ Time Frame: Five Years ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Massachusetts General HospitalBostonMassachusetts02114
Chi-Fu J Yang, M.D.
[email protected]
814-574-8695

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By research site
Massachusetts General Hospital· Boston, MA

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