The Role of Wearable Devices in Predicting and Detecting Complications and Adverse Events
1 other identifier
observational
2,400
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 11, 2021
CompletedFirst Posted
Study publicly available on registry
April 1, 2021
CompletedStudy Start
First participant enrolled
July 10, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 30, 2029
May 28, 2026
May 1, 2026
7.5 years
March 11, 2021
May 24, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Early detection of complications and adverse events using machine learning analysis of patient biometric data.
Proportion of complications detected by the machine learning algorithm.
Five Years
Prediction of the quality of recovery after treatment using patient biometric data.
Proportion of patients whose quality of recovery is correctly predicted by the machine learning algorithm.
Four Years
Study Arms (1)
Treatment Group
Adults patients who are scheduled to undergo treatment for a benign or malignant condition and meet the inclusion and exclusion criteria.
Interventions
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.
Eligibility Criteria
Patients undergoing treatment for benign or malignant conditions that are amenable to wearing a device of interest and meet the inclusion and exclusion criteria above will be approached for informed consent.
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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Massachusetts General Hospitallead
- Case Western Reserve Universitycollaborator
Study Sites (1)
Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
Related Publications (1)
Wang D, Fang Z, Zhu A, Rettner B, Potter AL, McCarthy M, Zhang L, Kim J, Zhang Y, Powell J, Pope A, Beqari J, Cranor J, Smock G, Warikoo IM, Aaron A, Guo Q, Hanna G, Mitri J, Zarif M, Melki A, Wilkins I, Lin MW, Lee H, Costantino C, Furlow PW, Sachdeva UM, Auchincloss HG, Wright C, Lanuti M, Li X, Jeffrey Yang CF. Changes in patient-reported quality of life after lobectomy versus sublobar resection. J Thorac Cardiovasc Surg. 2026 Apr;171(4):826-835.e5. doi: 10.1016/j.jtcvs.2025.10.040. Epub 2025 Nov 8.
PMID: 41213469DERIVED
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Chi-Fu Jeffrey Yang
Massachusetts General Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD
Study Record Dates
First Submitted
March 11, 2021
First Posted
April 1, 2021
Study Start
July 10, 2021
Primary Completion (Estimated)
January 1, 2029
Study Completion (Estimated)
June 30, 2029
Last Updated
May 28, 2026
Record last verified: 2026-05