Virtual checkups after surgery: just as good as the real thing?
NCT ID NCT07420114
First seen Jun 25, 2026 · Last updated Aug 11, 2026 · Updated 5 times
Summary
This study will compare patient satisfaction between telehealth (video or phone) and in-person follow-up visits after minimally invasive gynecologic surgery. About 100 women will be randomly assigned to one of the two follow-up methods. The goal is to see if virtual visits are as satisfying as traditional clinic visits, which could save patients time and travel.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could show that telehealth follow-up is just as satisfying as in-person visits, potentially making postoperative care more convenient and cost-effective.
- What could go wrong
- This is a small, early-stage study focused on satisfaction, not safety or long-term outcomes. Results may not apply to all surgeries or patient groups.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 100 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jul 2026
- Expected to finish
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Dec 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Women over the age of 18 and scheduled for a minimally invasive gynecologic surgery (laparoscopic or robotic surgeries including: excision of endometriosis, adnexal surgery with oophorectomy or cystectomy, myomectomy, or hysterectomy.)
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Participant has provided written informed consent. 2. Women over the age of 18. 3. Ability for patients to complete telehealth visits (i.e. working telephone or internet access) and speak and understand English. 4. Laparoscopic or robotic surgeries including: excision of endometriosis, adnexal surgery with oophorectomy or cystectomy, myomectomy, and hysterectomy. 5. Undergoing minimally invasive gynecologic surgeries with complex pelvic surgeons (AAGL fellowship-trained). Exclusion Criteria: 1. Conversion to open surgery. 2. Malignancy noted intraoperatively or on final pathology evaluation. 3. Surgeon or patient preference for in person clinic follow up. 4. Pregnancy - pregnancy tests will be completed as part of routine preoperative care on the day of surgery
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
2 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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UChicago Medicine Advent Hinsdale
NOT_YET_RECRUITINGHinsdale, Illinois, 60521, United States
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University of Chicago
RECRUITINGChicago, Illinois, 60637, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Appendix: the hidden driver of endometriosis pain?
- Allergy pill put to the test against endometriosis pain
- Can ultrasound and tissue clues reveal which endometriosis lesions carry cancer risk?
- Can AI personalize exercise to ease pelvic pain?
- Can AI learn to spot endometriosis and fibroids on ultrasound?