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Post-Surgery Wound Healing Tracking With MyHealthPal App

NCT07391735 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150

Last updated 2026-08-12

No results posted yet for this study

Summary

The investigators want to explore the use of a smartphone app that allows patients to take photos of their wounds in early stages of healing, so that clinicians can monitor wound-healing remotely with the assistance of an AI program.

Participants will choose whether they want to be in the control group or the app group. Participants in the app group will be asked to download an app on their personal smartphone before their surgery. After the procedure, participants will upload a photo of their surgery site as well as answer some questions about its characteristics either on a daily or weekly basis. A healthcare provider and the app's AI algorithm will observe this information to determine the risk of infection. Participants in the control group will not be asked to use the app. Their medical record will be monitored by study staff intermittently to see if they develop infection. This study will take approximately 16 weeks.

Conditions

  • Wound Infection and Wound Healing

Interventions

DEVICE

MyHealthPal App

MyHealthPal (MHP) is a digital platform for postoperative patients to analyze surgical wound characteristics remotely through photos and additional patient data to provide physicians with SSI risk predictions and inform clinical decision making. It allows postoperative patients to capture and upload wound photos and enter surgery-related medication intake (antibiotics, painkillers), vital signs, wound inputs, and well-being patient data. Patients and providers can access the mobile applications using their own smart devices, while healthcare providers can access the desktop portal through a personal computer. MHP provides a prediction report for healthcare providers anytime a patient enters any data. If the patient uploads a high quality surgical incision photo, MHP's prediction reports include an SSI risk prediction: elevated risk or standard risk. MHP's AI-based algorithm analyzes wound photos for characteristics indicative of infection and provides risk predictions for providers.

Sponsors & Collaborators

  • Brigham and Women's Hospital

    lead OTHER

Principal Investigators

  • Olivia M Sutton, MD · Brigham and Women's Anesthesiology Department

Study Design

Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-27
Primary Completion
2027-01-01
Completion
2027-12-31
FDA Device
Yes

Countries

  • United States

Study Locations

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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 NCT07391735 on ClinicalTrials.gov